Instructions to use alcamilo2/mistral-7B_CS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use alcamilo2/mistral-7B_CS with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bn22/Mistral-7B-Instruct-v0.1-sharded") model = PeftModel.from_pretrained(base_model, "alcamilo2/mistral-7B_CS") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from alcamilo2/mistral-7B_CS: direct link, hf CLI and curl.
- Browser
- Download file 1.8 MB
-
https://huggingface.co/alcamilo2/mistral-7B_CS/resolve/main/tokenizer.json
- Command line
-
hf download hf://alcamilo2/mistral-7B_CS/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/alcamilo2/mistral-7B_CS/resolve/main/tokenizer.json
1.8 MB
File too large to display, you can check the raw version instead.