Instructions to use codeaze/Mistral-7B-chat-bot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use codeaze/Mistral-7B-chat-bot with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codeaze/CA-Pharma-Mistral-7B") model = PeftModel.from_pretrained(base_model, "codeaze/Mistral-7B-chat-bot") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d6a87bf29bcc61708fc5d9f30aa1013170c4001e9ac10eeb458079676d0df097
- Size of remote file:
- 347 MB
- SHA256:
- c9e9814751434c06d12568d09b66e6b31d2decc20d6ad1d7ca29f17fa1f72e2a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.