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.json from AlbertHSU/BertTEST: direct link, hf CLI and curl.
- Browser
- Download file 269 kB
-
https://huggingface.co/AlbertHSU/BertTEST/resolve/main/tokenizer.json
- Command line
-
hf download hf://AlbertHSU/BertTEST/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/AlbertHSU/BertTEST/resolve/main/tokenizer.json
269 kB
- Xet hash:
- 8d3570af103db7b37e4923927d515d4fb1b79b49b86273d68ea1d2745672f1dc
- Size of remote file:
- 269 kB
- SHA256:
- 55c5edcfb8936895e019b2d8f97dcb547734f25b29f95009155f4c8c15649aae
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