Instructions to use aleegis09/f5de8185-b42b-484a-bc56-fd9fdd5f76ee with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis09/f5de8185-b42b-484a-bc56-fd9fdd5f76ee with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("facebook/opt-1.3b") model = PeftModel.from_pretrained(base_model, "aleegis09/f5de8185-b42b-484a-bc56-fd9fdd5f76ee") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0202f4c946525bd4601c2343e3eb12467f03183cf4e175bfae69210b65ca15ff
- Size of remote file:
- 115 MB
- SHA256:
- f08046812d19f2be138043d6535d66aab6acbb2f18e8ca7a717aeba20fcad217
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