Instructions to use ProximAditya/OBAX-32B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ProximAditya/OBAX-32B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ProximAditya/OBAX-32B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from ProximAditya/OBAX-32B: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/ProximAditya/OBAX-32B/resolve/main/tokenizer.json
- Command line
-
hf download hf://ProximAditya/OBAX-32B/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ProximAditya/OBAX-32B/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- fc23b0c3ff41a8a1324c8565bce595fe11422393117c438758cc6fcea9be9541
- Size of remote file:
- 11.4 MB
- SHA256:
- bd5948af71b4f56cf697f7580814c7ce8b80595ef985544efcacf716126a2e31
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