64 lines
2.0 KiB
Python
Executable File
64 lines
2.0 KiB
Python
Executable File
#!/usr/bin/env python3
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from huggingface_hub import HfApi
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import argparse
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# This script requires that the environment variable HF_TOKEN is set with your
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# Hugging Face API token.
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api = HfApi()
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def load_template_and_substitute(template_path, **kwargs):
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try:
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with open(template_path, 'r', encoding='utf-8') as f:
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template_content = f.read()
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return template_content.format(**kwargs)
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except FileNotFoundError:
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print(f"Template file '{template_path}' not found!")
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return None
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except KeyError as e:
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print(f"Missing template variable: {e}")
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return None
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parser = argparse.ArgumentParser(description='Create a new Hugging Face model repository')
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parser.add_argument('--model-name', '-m', help='Name for the model', required=True)
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parser.add_argument('--namespace', '-ns', help='Namespace to add the model to', required=True)
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parser.add_argument('--org-base-model', '-b', help='Original Base model name', default="")
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parser.add_argument('--no-card', action='store_true', help='Skip creating model card')
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parser.add_argument('--private', '-p', action='store_true', help='Create private model')
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args = parser.parse_args()
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repo_id = f"{args.namespace}/{args.model_name}-GGUF"
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print("Repository ID: ", repo_id)
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repo_url = api.create_repo(
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repo_id=repo_id,
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repo_type="model",
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private=args.private,
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exist_ok=False
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)
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if not args.no_card:
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template_path = "scripts/readme.md.template"
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model_card_content = load_template_and_substitute(
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template_path,
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model_name=args.model_name,
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namespace=args.namespace,
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base_model=args.org_base_model,
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)
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if model_card_content:
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api.upload_file(
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path_or_fileobj=model_card_content.encode('utf-8'),
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path_in_repo="README.md",
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repo_id=repo_id
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)
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print("Model card created successfully.")
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else:
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print("Failed to create model card.")
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print(f"Repository created: {repo_url}")
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