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Don't try to load training_args.bin (#373)
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@ -39,7 +39,10 @@ def hf_model_weights_iterator(
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else:
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hf_folder = model_name_or_path
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hf_bin_files = glob.glob(os.path.join(hf_folder, "*.bin"))
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hf_bin_files = [
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x for x in glob.glob(os.path.join(hf_folder, "*.bin"))
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if not x.endswith("training_args.bin")
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]
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if use_np_cache:
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# Convert the model weights from torch tensors to numpy arrays for
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