Instructions to use magibu/Altus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use magibu/Altus with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("magibu/Altus", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from magibu/Altus: direct link, hf CLI and curl.
- Browser
- Download file 32.5 MB
-
https://huggingface.co/magibu/Altus/resolve/main/tokenizer.json
- Command line
-
hf download hf://magibu/Altus/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/magibu/Altus/resolve/main/tokenizer.json
32.5 MB
- Xet hash:
- bf3d9c44fdcb0f2ba8ba0fca9e6c499ffd95a531c05ec75de455900e965ab756
- Size of remote file:
- 32.5 MB
- SHA256:
- f4296c62688769aabed925390a1144a6b9619bb3fb085385db272a74809e0cb3
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