Instructions to use arthikrangan/mistral7binstruct_summarize with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use arthikrangan/mistral7binstruct_summarize 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, "arthikrangan/mistral7binstruct_summarize") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from arthikrangan/mistral7binstruct_summarize: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/arthikrangan/mistral7binstruct_summarize/resolve/main/training_args.bin
- Command line
-
hf download hf://arthikrangan/mistral7binstruct_summarize/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/arthikrangan/mistral7binstruct_summarize/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- 3edb0d67ddc3278e58974e1cc94a0d0ec01864f548fc12fefcc898339ae488df
- Size of remote file:
- 4.98 kB
- SHA256:
- 00ce7d2530d5ae397fefef41f9135f1df18cf62965d97df438dda539620cf5c4
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