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:
- 000d14e605e572edf688c2f4b7aba9982361d5fd195e508733b5be4994f0c4db
- Size of remote file:
- 100 MB
- SHA256:
- f5794941042239687cc44b674a3c56a1cf23c00308498efbc69014bb0590656b
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