Instructions to use conan1024hao/cjkbert-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use conan1024hao/cjkbert-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="conan1024hao/cjkbert-small")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("conan1024hao/cjkbert-small") model = AutoModelForMaskedLM.from_pretrained("conan1024hao/cjkbert-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d4b41c6b822d3f847f9092b4eaa9febda107a04c2b731ef42b933997f817f96c
- Size of remote file:
- 3.12 kB
- SHA256:
- 8997bd28ac59f142bd358ec47ffd54a94605b667e513112c2f2aa29cb429963b
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