Instructions to use kajol/mistral_math_expert_v01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kajol/mistral_math_expert_v01 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1") model = PeftModel.from_pretrained(base_model, "kajol/mistral_math_expert_v01") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from kajol/mistral_math_expert_v01: direct link, hf CLI and curl.
- Browser
- Download file 168 MB
-
https://huggingface.co/kajol/mistral_math_expert_v01/resolve/main/optimizer.pt
- Command line
-
hf download hf://kajol/mistral_math_expert_v01/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/kajol/mistral_math_expert_v01/resolve/main/optimizer.pt
168 MB
- Xet hash:
- bc5983a2ae6f56715ade2e1febe3fb82c76b41c2015bca9b52bab3c48ed4c028
- Size of remote file:
- 168 MB
- SHA256:
- 61a251eaba4eb23854975b2f6309315fd43ab65ef35c8377edb24f5cb26d6b21
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