Instructions to use havinash-ai/b00a709a-60bb-4d7a-a4a0-aec24df22a51 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use havinash-ai/b00a709a-60bb-4d7a-a4a0-aec24df22a51 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "havinash-ai/b00a709a-60bb-4d7a-a4a0-aec24df22a51") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b6383092369540f67ad8d09fee6de9ad2e502528c8b22676f816f045b41c0a50
- Size of remote file:
- 41.7 MB
- SHA256:
- 3b42824f87a6b99fb5fa8025c1038d75724dedba942757cbe56b2bbedf43ceb8
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