Instructions to use AlbertHSU/BertTEST with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlbertHSU/BertTEST with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AlbertHSU/BertTEST", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from AlbertHSU/BertTEST: direct link, hf CLI and curl.
- Browser
- Download file 30 Bytes
-
https://huggingface.co/AlbertHSU/BertTEST/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://AlbertHSU/BertTEST/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/AlbertHSU/BertTEST/resolve/main/tokenizer_config.json
30 Bytes
- Xet hash:
- faa9d510d20c994fed8bb841e0e8cd3d72ab7e6699d1c5cb1ccc6569bf32ac74
- Size of remote file:
- 30 Bytes
- SHA256:
- 72e8780824be2cc2331d6addd13dc976948857a7cda3389c2b95d1a7c3206b68
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