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Upload ConvNextForImageClassification

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  1. README.md +201 -0
  2. config.json +247 -0
  3. model.safetensors +3 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ tags: []
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+ ---
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+
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+ # Model Card for Model ID
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+
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+
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+ ## Model Details
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+
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+ ### Model Description
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+
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+ <!-- Provide a longer summary of what this model is. -->
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+
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+ This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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+
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+ - **Developed by:** [More Information Needed]
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+ - **Funded by [optional]:** [More Information Needed]
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+ - **Shared by [optional]:** [More Information Needed]
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+ - **Model type:** [More Information Needed]
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+ - **Language(s) (NLP):** [More Information Needed]
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+ - **License:** [More Information Needed]
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+ - **Finetuned from model [optional]:** [More Information Needed]
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+
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+ ### Model Sources [optional]
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+
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+ <!-- Provide the basic links for the model. -->
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+
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+ - **Repository:** [More Information Needed]
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+ - **Paper [optional]:** [More Information Needed]
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+ - **Demo [optional]:** [More Information Needed]
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+
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+ ## Uses
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+
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+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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+
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+ ### Direct Use
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+
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+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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+
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+ [More Information Needed]
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+
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+ ### Downstream Use [optional]
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+
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+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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+
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+ [More Information Needed]
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+
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+ ### Out-of-Scope Use
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+
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+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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+
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+ [More Information Needed]
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+
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+ ## Bias, Risks, and Limitations
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+
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+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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+
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+ [More Information Needed]
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+
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+ ### Recommendations
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+
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+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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+
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+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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+
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+ ## How to Get Started with the Model
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+
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+ Use the code below to get started with the model.
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+
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+ [More Information Needed]
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+
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+ ## Training Details
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+
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+ ### Training Data
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+
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+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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+
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+ [More Information Needed]
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+
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+ ### Training Procedure
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+
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+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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+
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+ #### Preprocessing [optional]
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+
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+ [More Information Needed]
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+
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+
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+ #### Training Hyperparameters
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+
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+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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+
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+ #### Speeds, Sizes, Times [optional]
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+
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+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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+
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+ [More Information Needed]
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+
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+ ## Evaluation
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+
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+ <!-- This section describes the evaluation protocols and provides the results. -->
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+
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+ ### Testing Data, Factors & Metrics
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+
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+ #### Testing Data
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+
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+ <!-- This should link to a Dataset Card if possible. -->
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+
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+ [More Information Needed]
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+
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+ #### Factors
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+
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+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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+
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+ [More Information Needed]
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+
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+ #### Metrics
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+
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+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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+
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+ [More Information Needed]
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+
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+ ### Results
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+
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+ [More Information Needed]
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+
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+ #### Summary
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+
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+
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+
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+ ## Model Examination [optional]
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+
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+ <!-- Relevant interpretability work for the model goes here -->
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+
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+ [More Information Needed]
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+
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+ ## Environmental Impact
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+
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+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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+
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+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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+
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+ - **Hardware Type:** [More Information Needed]
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+ - **Hours used:** [More Information Needed]
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+ - **Cloud Provider:** [More Information Needed]
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+ - **Compute Region:** [More Information Needed]
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+ - **Carbon Emitted:** [More Information Needed]
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+
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+ ## Technical Specifications [optional]
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+
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+ ### Model Architecture and Objective
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+
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+ [More Information Needed]
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+
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+ ### Compute Infrastructure
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+
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+ [More Information Needed]
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+
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+ #### Hardware
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+
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+ [More Information Needed]
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+
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+ #### Software
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+ [More Information Needed]
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+
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+ ## Citation [optional]
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+
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+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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+
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+ **BibTeX:**
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+
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+ [More Information Needed]
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+
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+ **APA:**
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+
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+ [More Information Needed]
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+
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+ ## Glossary [optional]
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+
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+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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+ [More Information Needed]
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+
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+ ## More Information [optional]
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+
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+ [More Information Needed]
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+
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+ ## Model Card Authors [optional]
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+
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+ [More Information Needed]
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+ ## Model Card Contact
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+ [More Information Needed]
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+
config.json ADDED
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+ {
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+ "_name_or_path": "facebook/convnext-tiny-224",
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+ "architectures": [
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+ "ConvNextForImageClassification"
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+ ],
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+ "depths": [
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+ 3,
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+ 3,
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+ 9,
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+ 3
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+ ],
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+ "drop_path_rate": 0.0,
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+ "hidden_act": "gelu",
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+ "hidden_sizes": [
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+ 96,
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+ 192,
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+ 384,
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+ 768
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+ ],
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+ "id2label": {
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+ "0": "apple",
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+ "1": "aquarium_fish",
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+ "2": "baby",
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+ "3": "bear",
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+ "4": "beaver",
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+ "5": "bed",
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+ "6": "bee",
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+ "7": "beetle",
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+ "8": "bicycle",
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+ "9": "bottle",
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+ "10": "bowl",
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+ "11": "boy",
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+ "12": "bridge",
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+ "13": "bus",
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+ "14": "butterfly",
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+ "15": "camel",
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+ "16": "can",
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+ "17": "castle",
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+ "18": "caterpillar",
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+ "19": "cattle",
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+ "20": "chair",
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+ "21": "chimpanzee",
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+ "22": "clock",
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+ "23": "cloud",
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+ "24": "cockroach",
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+ "25": "couch",
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+ "26": "cra",
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+ "27": "crocodile",
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+ "28": "cup",
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+ "29": "dinosaur",
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+ "30": "dolphin",
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+ "31": "elephant",
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+ "32": "flatfish",
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+ "33": "forest",
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+ "34": "fox",
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+ "35": "girl",
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+ "36": "hamster",
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+ "37": "house",
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+ "38": "kangaroo",
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+ "39": "keyboard",
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+ "40": "lamp",
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+ "41": "lawn_mower",
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+ "42": "leopard",
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+ "43": "lion",
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+ "44": "lizard",
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+ "45": "lobster",
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+ "46": "man",
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+ "47": "maple_tree",
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+ "48": "motorcycle",
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+ "49": "mountain",
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+ "50": "mouse",
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+ "51": "mushroom",
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+ "52": "oak_tree",
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+ "53": "orange",
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+ "54": "orchid",
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+ "55": "otter",
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+ "56": "palm_tree",
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+ "57": "pear",
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+ "58": "pickup_truck",
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+ "59": "pine_tree",
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+ "60": "plain",
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+ "61": "plate",
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+ "62": "poppy",
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+ "63": "porcupine",
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+ "64": "possum",
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+ "65": "rabbit",
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+ "66": "raccoon",
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+ "67": "ray",
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+ "68": "road",
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+ "69": "rocket",
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+ "70": "rose",
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+ "71": "sea",
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+ "72": "seal",
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+ "73": "shark",
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+ "74": "shrew",
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+ "75": "skunk",
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+ "76": "skyscraper",
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+ "77": "snail",
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+ "78": "snake",
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+ "79": "spider",
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+ "80": "squirrel",
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+ "81": "streetcar",
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+ "82": "sunflower",
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+ "83": "sweet_pepper",
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+ "84": "table",
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+ "85": "tank",
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+ "86": "telephone",
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+ "87": "television",
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+ "88": "tiger",
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+ "89": "tractor",
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+ "90": "train",
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+ "91": "trout",
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+ "92": "tulip",
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+ "93": "turtle",
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+ "94": "wardrobe",
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+ "95": "whale",
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+ "96": "willow_tree",
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+ "97": "wolf",
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+ "98": "woman",
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+ "99": "worm"
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+ },
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+ "image_size": 224,
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+ "initializer_range": 0.02,
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+ "worm": 99
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "layer_scale_init_value": 1e-06,
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+ "model_type": "convnext",
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+ "num_channels": 3,
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+ "num_stages": 4,
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+ "out_features": [
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+ "stage4"
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+ ],
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+ "out_indices": [
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+ "patch_size": 4,
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+ "stage_names": [
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+ "stem",
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+ "stage1",
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+ "stage2",
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+ "stage3",
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+ "stage4"
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+ ],
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.38.2"
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+ }
model.safetensors ADDED
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