Instructions to use Pradnya27/codegpt-lora-code-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Pradnya27/codegpt-lora-code-generation with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/CodeGPT-small-py") model = PeftModel.from_pretrained(base_model, "Pradnya27/codegpt-lora-code-generation") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Pradnya27/codegpt-lora-code-generation: direct link, hf CLI and curl.
- Browser
- Download file 3.48 MB
-
https://huggingface.co/Pradnya27/codegpt-lora-code-generation/resolve/main/tokenizer.json
- Command line
-
hf download hf://Pradnya27/codegpt-lora-code-generation/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Pradnya27/codegpt-lora-code-generation/resolve/main/tokenizer.json
3.48 MB
File too large to display, you can check the raw version instead.