Instructions to use mdevoz/tanadata with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mdevoz/tanadata with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mdevoz/tanadata", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download adapter_model.safetensors from mdevoz/tanadata: direct link, hf CLI and curl.
- Browser
- Download file 83.9 MB
-
https://huggingface.co/mdevoz/tanadata/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://mdevoz/tanadata/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/mdevoz/tanadata/resolve/main/adapter_model.safetensors
83.9 MB
- Xet hash:
- 1f8b921001f1054e6f4feb1fffe30a8e82ec433e0816f360040294be5da44cf1
- Size of remote file:
- 83.9 MB
- SHA256:
- a01c6220ba2c0eee80a9d26db98aa4fdac7f1b6e86de2c78a090f28cc0f7fd93
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