Instructions to use farhadali/Mistral-7B-Instruct-v0.2_Sparql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use farhadali/Mistral-7B-Instruct-v0.2_Sparql 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, "farhadali/Mistral-7B-Instruct-v0.2_Sparql") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from farhadali/Mistral-7B-Instruct-v0.2_Sparql: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/farhadali/Mistral-7B-Instruct-v0.2_Sparql/resolve/main/training_args.bin
- Command line
-
hf download hf://farhadali/Mistral-7B-Instruct-v0.2_Sparql/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/farhadali/Mistral-7B-Instruct-v0.2_Sparql/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- abc4266fe9ee4c9ebff4342530391808758f5f4e00438e2d165f17f974a4d6d8
- Size of remote file:
- 5.05 kB
- SHA256:
- d797b0d557d0740860cdde1de2bf621b5372fe09dde5c3f1cd4eed19a79092ff
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