Instructions to use SrinivasMudiraj/Baaz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SrinivasMudiraj/Baaz with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SrinivasMudiraj/Baaz", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download Textencoder/text_encoder200.pth from SrinivasMudiraj/Baaz: direct link, hf CLI and curl.
- Browser
- Download file 544 MB
-
https://huggingface.co/SrinivasMudiraj/Baaz/resolve/main/Textencoder/text_encoder200.pth
- Command line
-
hf download hf://SrinivasMudiraj/Baaz/Textencoder/text_encoder200.pth
-
curl -L -o text_encoder200.pth https://huggingface.co/SrinivasMudiraj/Baaz/resolve/main/Textencoder/text_encoder200.pth
544 MB
- Xet hash:
- 7f3442e2c47e60b5e38ded71eff1ceb49a5a67629413e11368792d898e6ef283
- Size of remote file:
- 544 MB
- SHA256:
- 8cf45c4205722e756a1a0d9386a284000735dfe05a095c68af4f50c7de8742bc
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