Instructions to use umerbappi/LyricGen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use umerbappi/LyricGen 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, "umerbappi/LyricGen") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1bfd7bee11f599336e673cc1b2d362b52115788be5013a6519340e39671f9518
- Size of remote file:
- 1.06 kB
- SHA256:
- 80a05ed4ca23fa1a96789e6fe0339503c81eeab68bf3449a87f974d81062cadf
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