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:
- 514adc25b519f31799e2748d4f24a6db4991559de3d171e188eca96a79e1216e
- Size of remote file:
- 4.92 kB
- SHA256:
- d52e07af414036ef12133bc60d1a42df8f46e408677f6cd714bc1dad4dbce599
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