Instructions to use aleegis12/e44ab6e4-8c71-45b8-a00b-5b8a30673a0c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis12/e44ab6e4-8c71-45b8-a00b-5b8a30673a0c 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, "aleegis12/e44ab6e4-8c71-45b8-a00b-5b8a30673a0c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb149d39f56a1f29b03968f814cda3d1330ca6a919c501c3e31c0f2fdd25884e
- Size of remote file:
- 227 MB
- SHA256:
- eee62e6947de61c3c74b7a7140b8072b2225d4abf50a899299e44a70d0f3a1ed
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