Instructions to use JK-TK/Mistral_7b_Tex with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use JK-TK/Mistral_7b_Tex with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/phi-3-mini-4k-instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "JK-TK/Mistral_7b_Tex") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from JK-TK/Mistral_7b_Tex: direct link, hf CLI and curl.
- Browser
- Download file 886 MB
-
https://huggingface.co/JK-TK/Mistral_7b_Tex/resolve/main/optimizer.pt
- Command line
-
hf download hf://JK-TK/Mistral_7b_Tex/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/JK-TK/Mistral_7b_Tex/resolve/main/optimizer.pt
886 MB
- Xet hash:
- 6cb9c17b9640a8cd2db833559fb959aaf41485e12726d9467c5ee4d6776d32f9
- Size of remote file:
- 886 MB
- SHA256:
- 4dd4eb6b9f9a7d2e1283b7e8b7cd50f2171359ca3a681685e6185881d6abbc03
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