pytorch model
Browse files- config.json +2 -1
- generate_pytorch_model.py +5 -0
- pytorch_model.bin +3 -0
config.json
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{
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"_name_or_path": "
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"architectures": [
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"RobertaForMaskedLM"
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],
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"transformers_version": "4.15.0.dev0",
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"type_vocab_size": 1,
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"use_cache": true,
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{
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"_name_or_path": ".",
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"architectures": [
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"RobertaForMaskedLM"
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],
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.15.0.dev0",
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"type_vocab_size": 1,
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"use_cache": true,
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generate_pytorch_model.py
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# This script overwrites any existing PyTorch model. Generates a new one with an LM head from the pretrained Flax model.
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from transformers import RobertaForMaskedLM
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model = RobertaForMaskedLM.from_pretrained(".",from_flax=True)
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model.save_pretrained(".")
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:6c7aad3f5456d976b109a957126cbf69ce5c4dcf0ebfd6017269e8ce8a0f9696
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size 498872555
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