Instructions to use mmmtf/mistral-first-run-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mmmtf/mistral-first-run-v2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mmmtf/mistral-first-run-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.model from mmmtf/mistral-first-run-v2: direct link, hf CLI and curl.
- Browser
- Download file 587 kB
-
https://huggingface.co/mmmtf/mistral-first-run-v2/resolve/main/tokenizer.model
- Command line
-
hf download hf://mmmtf/mistral-first-run-v2/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/mmmtf/mistral-first-run-v2/resolve/main/tokenizer.model
587 kB
- Xet hash:
- 99a8e2a82d1d379cbf0dc6a54c53b9bb96bf01fab5faf37022a182278e77af84
- Size of remote file:
- 587 kB
- SHA256:
- 70e4a7e814d926ae02fe36888dbe006260dc6d790ae6f873473d6fa5c6017cac
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