Upload ConvNextForImageClassification

README.md

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+---
+library_name: transformers
+tags: []
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- 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. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+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).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]

config.json

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+{
+  "_name_or_path": "facebook/convnext-base-224-22k-1k",
+  "architectures": [
+    "ConvNextForImageClassification"
+  ],
+  "depths": [
+    3,
+    3,
+    27,
+    3
+  ],
+  "drop_path_rate": 0.0,
+  "hidden_act": "gelu",
+  "hidden_sizes": [
+    128,
+    256,
+    512,
+    1024
+  ],
+  "id2label": {
+    "0": "apple_pie",
+    "1": "baby_back_ribs",
+    "2": "baklava",
+    "3": "beef_carpaccio",
+    "4": "beef_tartare",
+    "5": "beet_salad",
+    "6": "beignets",
+    "7": "bibimbap",
+    "8": "bread_pudding",
+    "9": "breakfast_burrito",
+    "10": "bruschetta",
+    "11": "caesar_salad",
+    "12": "cannoli",
+    "13": "caprese_salad",
+    "14": "carrot_cake",
+    "15": "ceviche",
+    "16": "cheese_plate",
+    "17": "cheesecake",
+    "18": "chicken_curry",
+    "19": "chicken_quesadilla",
+    "20": "chicken_wings",
+    "21": "chocolate_cake",
+    "22": "chocolate_mousse",
+    "23": "churros",
+    "24": "clam_chowder",
+    "25": "club_sandwich",
+    "26": "crab_cakes",
+    "27": "creme_brulee",
+    "28": "croque_madame",
+    "29": "cup_cakes",
+    "30": "deviled_eggs",
+    "31": "donuts",
+    "32": "dumplings",
+    "33": "edamame",
+    "34": "eggs_benedict",
+    "35": "escargots",
+    "36": "falafel",
+    "37": "filet_mignon",
+    "38": "fish_and_chips",
+    "39": "foie_gras",
+    "40": "french_fries",
+    "41": "french_onion_soup",
+    "42": "french_toast",
+    "43": "fried_calamari",
+    "44": "fried_rice",
+    "45": "frozen_yogurt",
+    "46": "garlic_bread",
+    "47": "gnocchi",
+    "48": "greek_salad",
+    "49": "grilled_cheese_sandwich",
+    "50": "grilled_salmon",
+    "51": "guacamole",
+    "52": "gyoza",
+    "53": "hamburger",
+    "54": "hot_and_sour_soup",
+    "55": "hot_dog",
+    "56": "huevos_rancheros",
+    "57": "hummus",
+    "58": "ice_cream",
+    "59": "lasagna",
+    "60": "lobster_bisque",
+    "61": "lobster_roll_sandwich",
+    "62": "macaroni_and_cheese",
+    "63": "macarons",
+    "64": "miso_soup",
+    "65": "mussels",
+    "66": "nachos",
+    "67": "omelette",
+    "68": "onion_rings",
+    "69": "oysters",
+    "70": "pad_thai",
+    "71": "paella",
+    "72": "pancakes",
+    "73": "panna_cotta",
+    "74": "peking_duck",
+    "75": "pho",
+    "76": "pizza",
+    "77": "pork_chop",
+    "78": "poutine",
+    "79": "prime_rib",
+    "80": "pulled_pork_sandwich",
+    "81": "ramen",
+    "82": "ravioli",
+    "83": "red_velvet_cake",
+    "84": "risotto",
+    "85": "samosa",
+    "86": "sashimi",
+    "87": "scallops",
+    "88": "seaweed_salad",
+    "89": "shrimp_and_grits",
+    "90": "spaghetti_bolognese",
+    "91": "spaghetti_carbonara",
+    "92": "spring_rolls",
+    "93": "steak",
+    "94": "strawberry_shortcake",
+    "95": "sushi",
+    "96": "tacos",
+    "97": "takoyaki",
+    "98": "tiramisu",
+    "99": "tuna_tartare",
+    "100": "waffles"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "apple_pie": 0,
+    "baby_back_ribs": 1,
+    "baklava": 2,
+    "beef_carpaccio": 3,
+    "beef_tartare": 4,
+    "beet_salad": 5,
+    "beignets": 6,
+    "bibimbap": 7,
+    "bread_pudding": 8,
+    "breakfast_burrito": 9,
+    "bruschetta": 10,
+    "caesar_salad": 11,
+    "cannoli": 12,
+    "caprese_salad": 13,
+    "carrot_cake": 14,
+    "ceviche": 15,
+    "cheese_plate": 16,
+    "cheesecake": 17,
+    "chicken_curry": 18,
+    "chicken_quesadilla": 19,
+    "chicken_wings": 20,
+    "chocolate_cake": 21,
+    "chocolate_mousse": 22,
+    "churros": 23,
+    "clam_chowder": 24,
+    "club_sandwich": 25,
+    "crab_cakes": 26,
+    "creme_brulee": 27,
+    "croque_madame": 28,
+    "cup_cakes": 29,
+    "deviled_eggs": 30,
+    "donuts": 31,
+    "dumplings": 32,
+    "edamame": 33,
+    "eggs_benedict": 34,
+    "escargots": 35,
+    "falafel": 36,
+    "filet_mignon": 37,
+    "fish_and_chips": 38,
+    "foie_gras": 39,
+    "french_fries": 40,
+    "french_onion_soup": 41,
+    "french_toast": 42,
+    "fried_calamari": 43,
+    "fried_rice": 44,
+    "frozen_yogurt": 45,
+    "garlic_bread": 46,
+    "gnocchi": 47,
+    "greek_salad": 48,
+    "grilled_cheese_sandwich": 49,
+    "grilled_salmon": 50,
+    "guacamole": 51,
+    "gyoza": 52,
+    "hamburger": 53,
+    "hot_and_sour_soup": 54,
+    "hot_dog": 55,
+    "huevos_rancheros": 56,
+    "hummus": 57,
+    "ice_cream": 58,
+    "lasagna": 59,
+    "lobster_bisque": 60,
+    "lobster_roll_sandwich": 61,
+    "macaroni_and_cheese": 62,
+    "macarons": 63,
+    "miso_soup": 64,
+    "mussels": 65,
+    "nachos": 66,
+    "omelette": 67,
+    "onion_rings": 68,
+    "oysters": 69,
+    "pad_thai": 70,
+    "paella": 71,
+    "pancakes": 72,
+    "panna_cotta": 73,
+    "peking_duck": 74,
+    "pho": 75,
+    "pizza": 76,
+    "pork_chop": 77,
+    "poutine": 78,
+    "prime_rib": 79,
+    "pulled_pork_sandwich": 80,
+    "ramen": 81,
+    "ravioli": 82,
+    "red_velvet_cake": 83,
+    "risotto": 84,
+    "samosa": 85,
+    "sashimi": 86,
+    "scallops": 87,
+    "seaweed_salad": 88,
+    "shrimp_and_grits": 89,
+    "spaghetti_bolognese": 90,
+    "spaghetti_carbonara": 91,
+    "spring_rolls": 92,
+    "steak": 93,
+    "strawberry_shortcake": 94,
+    "sushi": 95,
+    "tacos": 96,
+    "takoyaki": 97,
+    "tiramisu": 98,
+    "tuna_tartare": 99,
+    "waffles": 100
+  },
+  "layer_norm_eps": 1e-12,
+  "layer_scale_init_value": 1e-06,
+  "model_type": "convnext",
+  "num_channels": 3,
+  "num_stages": 4,
+  "out_features": [
+    "stage4"
+  ],
+  "out_indices": [
+    4
+  ],
+  "patch_size": 4,
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.2"
+}

model.safetensors

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