Instructions to use prtm/ostelloTaskModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prtm/ostelloTaskModel with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("prtm/ostelloTaskModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from prtm/ostelloTaskModel: direct link, hf CLI and curl.
- Browser
- Download file 18.9 MB
-
https://huggingface.co/prtm/ostelloTaskModel/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://prtm/ostelloTaskModel/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/prtm/ostelloTaskModel/resolve/main/adapter_model.safetensors
18.9 MB
- Xet hash:
- 09c76a46b35c83379fcb6f4bf635627958499bb10cb7beb69642e9c21dee91ff
- Size of remote file:
- 18.9 MB
- SHA256:
- b4cb06fabfa30a1cf9551262d560897c877e25580e577cc32ed309e996ec742f
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