Instructions to use ananyarn/new_python_convert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ananyarn/new_python_convert with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TheBloke/Mistral-7B-Instruct-v0.1-GPTQ") model = PeftModel.from_pretrained(base_model, "ananyarn/new_python_convert") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ananyarn/new_python_convert: direct link, hf CLI and curl.
- Browser
- Download file 4.66 kB
-
https://huggingface.co/ananyarn/new_python_convert/resolve/main/training_args.bin
- Command line
-
hf download hf://ananyarn/new_python_convert/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ananyarn/new_python_convert/resolve/main/training_args.bin
4.66 kB
- Xet hash:
- 9c573bfbbdfac3eba917912f1347c4ab6b8485d6ec008421867f3d6d2658c778
- Size of remote file:
- 4.66 kB
- SHA256:
- fd93f7cf9e15f9f956e05eefd09eeb7b60189a1ca6698cd32dfb9eaec7360227
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