Instructions to use farhananis005/lora-mistral-7b-v0.3-Math-e1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use farhananis005/lora-mistral-7b-v0.3-Math-e1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("farhananis005/lora-mistral-7b-v0.3-Math-e1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from farhananis005/lora-mistral-7b-v0.3-Math-e1: direct link, hf CLI and curl.
- Browser
- Download file 1.96 MB
-
https://huggingface.co/farhananis005/lora-mistral-7b-v0.3-Math-e1/resolve/main/tokenizer.json
- Command line
-
hf download hf://farhananis005/lora-mistral-7b-v0.3-Math-e1/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/farhananis005/lora-mistral-7b-v0.3-Math-e1/resolve/main/tokenizer.json
1.96 MB
File too large to display, you can check the raw version instead.