Instructions to use conan1024hao/cjkbert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use conan1024hao/cjkbert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="conan1024hao/cjkbert-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("conan1024hao/cjkbert-base") model = AutoModelForMaskedLM.from_pretrained("conan1024hao/cjkbert-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 933052423f0220cfa5d778d54ce05d8a86d1e12237111f6988792594180b4073
- Size of remote file:
- 390 MB
- SHA256:
- a786f22e81efbea199a6eb27871240bd6b954d769c7a47bbda370acb461598d1
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