Instructions to use magibu/Nimbus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use magibu/Nimbus with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("magibu/Nimbus", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from magibu/Nimbus: direct link, hf CLI and curl.
- Browser
- Download file 25.1 MB
-
https://huggingface.co/magibu/Nimbus/resolve/main/tokenizer.json
- Command line
-
hf download hf://magibu/Nimbus/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/magibu/Nimbus/resolve/main/tokenizer.json
25.1 MB
- Xet hash:
- 79ba4f15923fd58004a7807147d021a67ec32627ca259bf17619f86b9da3d908
- Size of remote file:
- 25.1 MB
- SHA256:
- af78f656153747c94f89c5750c19839992a6f57ad9b8d2334b43838b614ed41c
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