Instructions to use PranavKeshav/upf_code_generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use PranavKeshav/upf_code_generator with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3.2-3b-instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "PranavKeshav/upf_code_generator") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 467b1e64526d5df2e6a0d75aed3675c2b557389b2d14fd9107e3865a8c7e9a6a
- Size of remote file:
- 97.3 MB
- SHA256:
- 5268b9cccaa3c6cff02fe392b5d7c6c6d9b79f2ba995a9e0d3b101468ddf699c
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