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Erlangshen-DeBERTa-v2-186M-Chinese-SentencePiece

Fill-Mask
Transformers
PyTorch
Safetensors
Chinese
deberta-v2
bert
Inference Endpoints
Model card Files Community
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@@ -10,7 +10,7 @@ tags:
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  inference: true
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  widget:
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- - text: "中国首都位于[MASK]。"
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  ---
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  # Erlangshen-DeBERTa-v2-186M-Chinese-SentencePiece，one model of [Fengshenbang-LM](https://github.com/IDEA-CCNL/Fengshenbang-LM)
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@@ -30,7 +30,7 @@ import torch
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  tokenizer=AutoTokenizer.from_pretrained('IDEA-CCNL/Erlangshen-DeBERTa-v2-186M-Chinese-SentencePiece', use_fast=False)
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  model=AutoModelForMaskedLM.from_pretrained('IDEA-CCNL/Erlangshen-DeBERTa-v2-186M-Chinese-SentencePiece')
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- text = '中国首都位于[MASK]。'
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  fillmask_pipe = FillMaskPipeline(model, tokenizer)
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  print(fillmask_pipe(text, top_k=10))
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  ```
 
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  inference: true
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  widget:
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+ - text: "中国首都位于<mask>。"
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  ---
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  # Erlangshen-DeBERTa-v2-186M-Chinese-SentencePiece，one model of [Fengshenbang-LM](https://github.com/IDEA-CCNL/Fengshenbang-LM)
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  tokenizer=AutoTokenizer.from_pretrained('IDEA-CCNL/Erlangshen-DeBERTa-v2-186M-Chinese-SentencePiece', use_fast=False)
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  model=AutoModelForMaskedLM.from_pretrained('IDEA-CCNL/Erlangshen-DeBERTa-v2-186M-Chinese-SentencePiece')
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+ text = '中国首都位于<mask>。'
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  fillmask_pipe = FillMaskPipeline(model, tokenizer)
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  print(fillmask_pipe(text, top_k=10))
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  ```