Instructions to use ArthurZ/PhysicalEye-Decide-35B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArthurZ/PhysicalEye-Decide-35B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="ArthurZ/PhysicalEye-Decide-35B")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ArthurZ/PhysicalEye-Decide-35B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ArthurZ/PhysicalEye-Decide-35B: direct link, hf CLI and curl.
- Browser
- Download file 20 MB
-
https://huggingface.co/ArthurZ/PhysicalEye-Decide-35B/resolve/main/tokenizer.json
- Command line
-
hf download hf://ArthurZ/PhysicalEye-Decide-35B/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ArthurZ/PhysicalEye-Decide-35B/resolve/main/tokenizer.json
20 MB
- Xet hash:
- 14b0e509953918c7da8a56cf1591f428e318aa337a64d81851bd744cb5c0684a
- Size of remote file:
- 20 MB
- SHA256:
- 2f4dd754486e96054d0c841ddde816748be0116cbbc8ba8b5311ae4853432a21
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