Instructions to use emanjavacas/GysBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emanjavacas/GysBERT with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("emanjavacas/GysBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from emanjavacas/GysBERT: direct link, hf CLI and curl.
- Browser
- Download file 441 MB
-
https://huggingface.co/emanjavacas/GysBERT/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://emanjavacas/GysBERT/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/emanjavacas/GysBERT/resolve/main/pytorch_model.bin
441 MB
- Xet hash:
- a9468adacb521db7bda47200b99f3e90b05086ba613a09b9f7eee694909746ff
- Size of remote file:
- 441 MB
- SHA256:
- b1d3b048997481e2c730108140891308a5db5de7af9da01dc8312e771bc24aaa
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