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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("conan1024hao/cjkbert-base") model = AutoModelForMaskedLM.from_pretrained("conan1024hao/cjkbert-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from conan1024hao/cjkbert-base: direct link, hf CLI and curl.
- Browser
- Download file 3.25 kB
-
https://huggingface.co/conan1024hao/cjkbert-base/resolve/main/training_args.bin
- Command line
-
hf download hf://conan1024hao/cjkbert-base/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/conan1024hao/cjkbert-base/resolve/main/training_args.bin
3.25 kB
- Xet hash:
- ff11313245afa7fe2c96eeb95ba42f855eefe0ff9a2f2f9fa7c714ce730b834a
- Size of remote file:
- 3.25 kB
- SHA256:
- 01bce61e4e4d2babd6021cf619298cb8992c8b6863fd1035638a1a05d354c73c
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