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import os |
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import fnmatch |
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import json |
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from huggingface_hub import HfApi |
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def find_json_files(directory): |
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matches = [] |
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for root, dirnames, filenames in os.walk(directory): |
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for filename in fnmatch.filter(filenames, "*.json"): |
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matches.append(os.path.join(root, filename)) |
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return matches |
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directory_path = "/Users/pasquale/workspace/eval/requests" |
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json_files = find_json_files(directory_path) |
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api = HfApi() |
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model_lst = api.list_models() |
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model_lst = [m for m in model_lst] |
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id_to_model = {m.id: m for m in model_lst} |
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for path in json_files: |
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with open(path, "r") as fr: |
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data = json.load(fr) |
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model_id = data["model"] |
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if model_id in id_to_model: |
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model = id_to_model[model_id] |
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to_overwrite = False |
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is_finetuned = any(tag.startswith("base_model:") for tag in id_to_model[data["model"]].tags) |
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if is_finetuned: |
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data["model_type"] = "fine-tuned" |
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to_overwrite = True |
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is_instruction_tuned = ("nstruct" in model_id) or ("chat" in model_id) |
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if is_instruction_tuned: |
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data["model_type"] = "instruction-tuned" |
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to_overwrite = True |
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if to_overwrite is True: |
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with open(path, "w") as fw: |
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json.dump(data, fw) |
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else: |
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print(f"Model {model_id} not found") |
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