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import requests |
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from huggingface_hub import DatasetFilter, HfApi, ModelFilter |
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api = HfApi() |
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def get_auth_headers(token: str, prefix: str = "autonlp"): |
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return {"Authorization": f"{prefix} {token}"} |
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def http_post( |
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path: str, |
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token: str, |
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payload=None, |
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domain: str = None, |
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) -> requests.Response: |
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"""HTTP POST request to the AutoNLP API, raises UnreachableAPIError if the API cannot be reached""" |
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try: |
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response = requests.post( |
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url=domain + path, json=payload, headers=get_auth_headers(token=token), allow_redirects=True |
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) |
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except requests.exceptions.ConnectionError: |
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print("β Failed to reach AutoNLP API, check your internet connection") |
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response.raise_for_status() |
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return response |
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def get_metadata(dataset_name): |
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filt = DatasetFilter(dataset_name=dataset_name) |
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data = api.list_datasets(filter=filt, full=True) |
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return data[0].cardData["train-eval-index"] |
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def get_compatible_models(task, dataset_name): |
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filt = ModelFilter(task=task, trained_dataset=dataset_name, library="transformers") |
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compatible_models = api.list_models(filter=filt) |
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return [model.modelId for model in compatible_models] |
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