Instructions to use genggui001/chinese_roberta_wwm_large_ext_fix_mlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use genggui001/chinese_roberta_wwm_large_ext_fix_mlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="genggui001/chinese_roberta_wwm_large_ext_fix_mlm")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("genggui001/chinese_roberta_wwm_large_ext_fix_mlm") model = AutoModelForMaskedLM.from_pretrained("genggui001/chinese_roberta_wwm_large_ext_fix_mlm") - Notebooks
- Google Colab
- Kaggle
Please use 'Bert' related functions to load this model!
Chinese BERT with Whole Word Masking Fix MLM Parameters
Init parameters by https://huggingface.co/hfl/chinese-roberta-wwm-ext-large
miss mlm parameters issue https://github.com/ymcui/Chinese-BERT-wwm/issues/98
Only train MLM parameters and freeze other parameters
More info in github https://github.com/genggui001/chinese_roberta_wwm_large_ext_fix_mlm
- Downloads last month
- 12