Instructions to use ymath/mistral7binstruct_summarize with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ymath/mistral7binstruct_summarize with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2") model = PeftModel.from_pretrained(base_model, "ymath/mistral7binstruct_summarize") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ymath/mistral7binstruct_summarize: direct link, hf CLI and curl.
- Browser
- Download file 1.8 MB
-
https://huggingface.co/ymath/mistral7binstruct_summarize/resolve/main/tokenizer.json
- Command line
-
hf download hf://ymath/mistral7binstruct_summarize/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ymath/mistral7binstruct_summarize/resolve/main/tokenizer.json
1.8 MB
File too large to display, you can check the raw version instead.