Instructions to use Phanh2532/mistral-predict with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Phanh2532/mistral-predict 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, "Phanh2532/mistral-predict") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from Phanh2532/mistral-predict: direct link, hf CLI and curl.
- Browser
- Download file 218 MB
-
https://huggingface.co/Phanh2532/mistral-predict/resolve/main/optimizer.pt
- Command line
-
hf download hf://Phanh2532/mistral-predict/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Phanh2532/mistral-predict/resolve/main/optimizer.pt
218 MB
- Xet hash:
- ca0602f96926fede1bf127f5d46d0bb8b78dd591c8e7f7fa4c1ac356513cc906
- Size of remote file:
- 218 MB
- SHA256:
- 0b9013e63a2c92f1d852bfa0120360bf3b76ec267a1e0375845d5663d98ee45b
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