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 tokenizer.json from rabiyulfahim/Python_coding_model: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
-
https://huggingface.co/rabiyulfahim/Python_coding_model/resolve/f2955a6456538cd2002d27a3e918c6337868904e/tokenizer.json
- Command line
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hf download hf://rabiyulfahim/Python_coding_model@f2955a6456538cd2002d27a3e918c6337868904e/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/rabiyulfahim/Python_coding_model/resolve/f2955a6456538cd2002d27a3e918c6337868904e/tokenizer.json
3.56 MB
File too large to display, you can check the raw version instead.