Instructions to use monaejam/mistral7binstruct_summarize with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use monaejam/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, "monaejam/mistral7binstruct_summarize") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 460916a643ff58ad329c98377d2a80cf758d426f732af102f12a3e2fc2a28ddf
- Size of remote file:
- 27.3 MB
- SHA256:
- 954f98151965a4cabcdb89635023bbe847ad023f6dc25fab2fee70ccd0ba1585
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