Instructions to use serss22/shawgpt-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use serss22/shawgpt-ft with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TheBloke/Mistral-7B-Instruct-v0.2-GPTQ") model = PeftModel.from_pretrained(base_model, "serss22/shawgpt-ft") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from serss22/shawgpt-ft: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/serss22/shawgpt-ft/resolve/main/training_args.bin
- Command line
-
hf download hf://serss22/shawgpt-ft/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/serss22/shawgpt-ft/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 1eea61e11098b5792d1421cd11bc8e2b1c397eefa9a78bf5ae9e3c9cd77f3632
- Size of remote file:
- 5.24 kB
- SHA256:
- 06d403af87cdac880258b4ab7b79ad9c4f73ab638d2c3f1830e7965f5963f9c9
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