Instructions to use thrunlab/mistral_sparse_80_percent_cola_raw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thrunlab/mistral_sparse_80_percent_cola_raw with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, SparseMistral tokenizer = AutoTokenizer.from_pretrained("thrunlab/mistral_sparse_80_percent_cola_raw") model = SparseMistral.from_pretrained("thrunlab/mistral_sparse_80_percent_cola_raw", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from thrunlab/mistral_sparse_80_percent_cola_raw: direct link, hf CLI and curl.
- Browser
- Download file 1.8 MB
-
https://huggingface.co/thrunlab/mistral_sparse_80_percent_cola_raw/resolve/main/tokenizer.json
- Command line
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hf download hf://thrunlab/mistral_sparse_80_percent_cola_raw/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/thrunlab/mistral_sparse_80_percent_cola_raw/resolve/main/tokenizer.json
1.8 MB
File too large to display, you can check the raw version instead.