Instructions to use zhaoyang/BertFinetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zhaoyang/BertFinetuning with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("zhaoyang/BertFinetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from zhaoyang/BertFinetuning: direct link, hf CLI and curl.
- Browser
- Download file 466 kB
-
https://huggingface.co/zhaoyang/BertFinetuning/resolve/refs%2Fpr%2F2/tokenizer.json
- Command line
-
hf download hf://zhaoyang/BertFinetuning@refs/pr/2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/zhaoyang/BertFinetuning/resolve/refs%2Fpr%2F2/tokenizer.json
466 kB
- Xet hash:
- 7ebf4a603c011147e91639a8ba526c92c0ef622d8e8d192549837f3723d22a0a
- Size of remote file:
- 466 kB
- SHA256:
- 5fd1c882abbd30517dced455a2c9768945ec726b96727927e4959348d9de550b
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