Instructions to use magibu/Arcus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use magibu/Arcus with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("magibu/Arcus", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from magibu/Arcus: direct link, hf CLI and curl.
- Browser
- Download file 34.7 MB
-
https://huggingface.co/magibu/Arcus/resolve/main/tokenizer.json
- Command line
-
hf download hf://magibu/Arcus/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/magibu/Arcus/resolve/main/tokenizer.json
34.7 MB
- Xet hash:
- 12096b23f51fb7dc94e44ff075889063e2fdaac662f41ec58ec6e54e4b3ecc27
- Size of remote file:
- 34.7 MB
- SHA256:
- a2f1d58fedac906561809362697b6a585229b8a3139b3aaee480da1cf8ff1072
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