Instructions to use hfl/chinese-roberta-wwm-ext with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hfl/chinese-roberta-wwm-ext with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hfl/chinese-roberta-wwm-ext")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hfl/chinese-roberta-wwm-ext") model = AutoModelForMaskedLM.from_pretrained("hfl/chinese-roberta-wwm-ext") - Inference
- Notebooks
- Google Colab
- Kaggle
ymcui commited on
Commit ·
8a1d98a
1
Parent(s): f9a62bc
add tf2 model
Browse files- tf_model.h5 +3 -0
tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:f7e89eb7d12a83e6617456058b014aaff7a3b25fef8e38f0a0f7e2caff6deba8
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size 409332904
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