Instructions to use RadAlienware/BangLLama17marchphase2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use RadAlienware/BangLLama17marchphase2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("RadAlienware/mis2ndphasemerge220k") model = PeftModel.from_pretrained(base_model, "RadAlienware/BangLLama17marchphase2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 442e8f6a6c60ef910452fe2c363c4344a20bf818cc54aff20deb0687fb658051
- Size of remote file:
- 1.2 GB
- SHA256:
- 920a793234228cf2bfbbf7297a8398f6b06089b3aba166dbc3cbe7658eafe648
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