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Download .pt files using download-model.py (for 4-bit models)
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parent
143b5b5edf
commit
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@ -116,10 +116,11 @@ def get_download_links_from_huggingface(model, branch):
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is_pytorch = re.match("(pytorch|adapter)_model.*\.bin", fname)
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is_pytorch = re.match("(pytorch|adapter)_model.*\.bin", fname)
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is_safetensors = re.match("model.*\.safetensors", fname)
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is_safetensors = re.match("model.*\.safetensors", fname)
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is_pt = re.match(".*\.pt", fname)
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is_tokenizer = re.match("tokenizer.*\.model", fname)
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is_tokenizer = re.match("tokenizer.*\.model", fname)
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is_text = re.match(".*\.(txt|json|py)", fname) or is_tokenizer
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is_text = re.match(".*\.(txt|json|py)", fname) or is_tokenizer
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if any((is_pytorch, is_safetensors, is_text, is_tokenizer)):
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if any((is_pytorch, is_safetensors, is_pt, is_tokenizer, is_text)):
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if is_text:
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if is_text:
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links.append(f"https://huggingface.co/{model}/resolve/{branch}/{fname}")
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links.append(f"https://huggingface.co/{model}/resolve/{branch}/{fname}")
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classifications.append('text')
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classifications.append('text')
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@ -132,7 +133,8 @@ def get_download_links_from_huggingface(model, branch):
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elif is_pytorch:
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elif is_pytorch:
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has_pytorch = True
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has_pytorch = True
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classifications.append('pytorch')
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classifications.append('pytorch')
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elif is_pt:
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classifications.append('pt')
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cursor = base64.b64encode(f'{{"file_name":"{dict[-1]["path"]}"}}'.encode()) + b':50'
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cursor = base64.b64encode(f'{{"file_name":"{dict[-1]["path"]}"}}'.encode()) + b':50'
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cursor = base64.b64encode(cursor)
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cursor = base64.b64encode(cursor)
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