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:
- 916cca5ca2ebd1a72e5adb0582eb08ed90fddbf5c137c5997881e8c44bbae11a
- Size of remote file:
- 14.2 kB
- SHA256:
- 1cc5abf371568b73cbb291ae97d0e01a8261ef1c8a259d6b4cc06828c577e9dd
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