Instructions to use raulgdp/Mistral-8B-Instruct-2410-009 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use raulgdp/Mistral-8B-Instruct-2410-009 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Ministral-8B-Instruct-2410") model = PeftModel.from_pretrained(base_model, "raulgdp/Mistral-8B-Instruct-2410-009") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b2f62f35b65ec487e4bd8371e5c0a7770e0fd4fea48a3b90135ca02248fab93
- Size of remote file:
- 30.7 MB
- SHA256:
- 5c74f772d730a00fd65bf5a58ac7cda355cd38879e5abd12c2873b835d4ba231
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.