Instructions to use aliazn/mathchat-mistral with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aliazn/mathchat-mistral with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.3") model = PeftModel.from_pretrained(base_model, "aliazn/mathchat-mistral") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ab063b1a5ef4d686886b846c311bf73c59f8bbc7035cd1f44d5c90394c62ca7
- Size of remote file:
- 5.3 kB
- SHA256:
- d99070056328975793e5699f6be26ea33fbc879a6e77e826863770073b560d95
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