Instructions to use ShinjiRay/MinistralSoda with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShinjiRay/MinistralSoda with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ShinjiRay/MinistralSoda", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ShinjiRay/MinistralSoda: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/ShinjiRay/MinistralSoda/resolve/main/tokenizer.json
- Command line
-
hf download hf://ShinjiRay/MinistralSoda/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ShinjiRay/MinistralSoda/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- f5602f86a9358ca2750d5956bc1a1ecddf566133eba9314ff4b3907453fdf5d3
- Size of remote file:
- 17.1 MB
- SHA256:
- b0e5447881fe5af14d3d1ace0e5f67d3a42ce6b57c592f8db331088c18c3ece0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.