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