Instructions to use tejas1206/aragpt_output3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tejas1206/aragpt_output3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tejas1206/aragpt_output3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from tejas1206/aragpt_output3: direct link, hf CLI and curl.
- Browser
- Download file 4.73 MB
-
https://huggingface.co/tejas1206/aragpt_output3/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://tejas1206/aragpt_output3/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/tejas1206/aragpt_output3/resolve/main/adapter_model.safetensors
4.73 MB
- Xet hash:
- e816212e713470585faf4bfcc7d9d567df5e17e1ff115f21884849ba5f5e2c31
- Size of remote file:
- 4.73 MB
- SHA256:
- 60bea692d96e3c97c4426fd9615588acd6f7e7352d11d0fe6a3ddc995e9632b7
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