Instructions to use rabiyulfahim/Python_coding_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rabiyulfahim/Python_coding_model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/DialoGPT-small") model = PeftModel.from_pretrained(base_model, "rabiyulfahim/Python_coding_model") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from rabiyulfahim/Python_coding_model: direct link, hf CLI and curl.
- Browser
- Download file 5.78 kB
-
https://huggingface.co/rabiyulfahim/Python_coding_model/resolve/f2955a6456538cd2002d27a3e918c6337868904e/training_args.bin
- Command line
-
hf download hf://rabiyulfahim/Python_coding_model@f2955a6456538cd2002d27a3e918c6337868904e/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/rabiyulfahim/Python_coding_model/resolve/f2955a6456538cd2002d27a3e918c6337868904e/training_args.bin
5.78 kB
- Xet hash:
- fdda1935bb715dd4ccc1d9b37489528e616aff5f81d21b020b2de4eb5ef5450d
- Size of remote file:
- 5.78 kB
- SHA256:
- df1436f56c96cffe01255d4adb2fc9aad65d832a385575da5a44fa9b5b08c14a
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