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title: Model Evaluator | |
emoji: π | |
colorFrom: red | |
colorTo: red | |
sdk: streamlit | |
sdk_version: 1.10.0 | |
app_file: app.py | |
# Model Evaluator | |
> Submit evaluation jobs to AutoTrain from the Hugging Face Hub | |
## Supported tasks | |
The table below shows which tasks are currently supported for evaluation in the AutoTrain backend: | |
| Task | Supported | | |
|:-----------------------------------|:---------:| | |
| `binary_classification` | β | | |
| `multi_class_classification` | β | | |
| `multi_label_classification` | β | | |
| `entity_extraction` | β | | |
| `extractive_question_answering` | β | | |
| `translation` | β | | |
| `summarization` | β | | |
| `image_binary_classification` | β | | |
| `image_multi_class_classification` | β | | |
## Installation | |
To run the application, first clone this repository and install the dependencies as follows: | |
``` | |
pip install -r requirements.txt | |
``` | |
Then spin up the application by running: | |
``` | |
streamlit run app.py | |
``` |