Instructions to use voidful/albert_chinese_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use voidful/albert_chinese_small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="voidful/albert_chinese_small")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("voidful/albert_chinese_small") model = AutoModelForMaskedLM.from_pretrained("voidful/albert_chinese_small") - Notebooks
- Google Colab
- Kaggle
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version https://git-lfs.github.com/spec/v1
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oid sha256:a480185be5bf98c486b2156fe9b5b5b221b1014b8c29e0cbf2fb1f3cb09e12ee
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size 19258882
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