Instructions to use mmukh/SOBertBase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mmukh/SOBertBase with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mmukh/SOBertBase", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model
Verified signatureThis is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.2ecd15d
-
Update README.md
Verified signature69098be
-
Update README.md
Verified signature9ff5825
-
Update README.md
Verified signature6666e7d -
Update README.md
Verified signature0cb5a6a
-
Update README.md
a1c09bd
-
Update README.md
453e405 -
Update README.md
1cf139f -
Upload 3 files
9edf289 -
Create README.md
b588eab -
Upload 3 files
b9907a5 -
initial commit
414ac11