Instructions to use Xuanda/test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Xuanda/test-model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Xuanda/test-model") model = AutoModel.from_pretrained("Xuanda/test-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Xuanda/test-model: direct link, hf CLI and curl.
- Browser
- Download file 501 MB
-
https://huggingface.co/Xuanda/test-model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Xuanda/test-model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Xuanda/test-model/resolve/main/pytorch_model.bin
501 MB
- Xet hash:
- fe1f8950b837fe73460cd1b9e33f8bf6d81e7b10947cafa2a7a5b15a7c9d8c37
- Size of remote file:
- 501 MB
- SHA256:
- 9c5404252053088ca28e4b81104714814468b8e882f40cafd392b6ce35fd2059
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