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 5.3 kB
-
https://huggingface.co/rabiyulfahim/Python_coding_model/resolve/33fa919f2b54b4d82900021a842e0a21fa031be9/training_args.bin
- Command line
-
hf download hf://rabiyulfahim/Python_coding_model@33fa919f2b54b4d82900021a842e0a21fa031be9/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/rabiyulfahim/Python_coding_model/resolve/33fa919f2b54b4d82900021a842e0a21fa031be9/training_args.bin
5.3 kB
- Xet hash:
- 82a9074132f3ce5b7936786d0143d3beb0fef3e2c58162b48be4d97085ffc3f9
- Size of remote file:
- 5.3 kB
- SHA256:
- 2aa3a383a54d49536d5373a62a106c0fd15e4fd001ada28f01b87e0188f65759
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