Instructions to use hfl/chinese-macbert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hfl/chinese-macbert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hfl/chinese-macbert-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hfl/chinese-macbert-base") model = AutoModelForMaskedLM.from_pretrained("hfl/chinese-macbert-base", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Update tf_model.h5
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:8ce3e21a00bfb22a1f0f93d232a2a0ed1ab29f2a077a847b1210785211294e9f
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size 478306704
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