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roberta-xlarge-wwm-chinese-cluecorpussmall

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bert
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@@ -139,7 +139,7 @@ Then, we extract fp32 consolidated weights from a zero 2 and 3 DeepSpeed checkpo
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  ```
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  python3 models/cluecorpussmall_wwm_roberta_xlarge_seq512_model/zero_to_fp32.py models/cluecorpussmall_wwm_roberta_xlarge_seq512_model/ \
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- models/cluecorpussmall_wwm_roberta_xlarge_seq512_model.bin
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  ```
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  Finally, we convert the pre-trained model into Huggingface's format:
 
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  ```
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  python3 models/cluecorpussmall_wwm_roberta_xlarge_seq512_model/zero_to_fp32.py models/cluecorpussmall_wwm_roberta_xlarge_seq512_model/ \
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+ models/cluecorpussmall_wwm_roberta_xlarge_seq512_model.bin
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  ```
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  Finally, we convert the pre-trained model into Huggingface's format: