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 pytorch_model.bin from AlbertHSU/BertTEST: direct link, hf CLI and curl.
- Browser
- Download file 409 MB
-
https://huggingface.co/AlbertHSU/BertTEST/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://AlbertHSU/BertTEST/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/AlbertHSU/BertTEST/resolve/main/pytorch_model.bin
409 MB
- Xet hash:
- af463054a059108b8b45a92a5b20b1c6df3edc335a146ca06732df4d6093582d
- Size of remote file:
- 409 MB
- SHA256:
- cc29b71f9c849019b86645b81e7521199fded89d556a1ba58a19607ff915c161
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