Instructions to use error577/942cfd35-534e-4ab7-9dd2-335ce292d7c2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/942cfd35-534e-4ab7-9dd2-335ce292d7c2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("hf-tiny-model-private/tiny-random-OPTForCausalLM") model = PeftModel.from_pretrained(base_model, "error577/942cfd35-534e-4ab7-9dd2-335ce292d7c2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8cd9c129e36535ad08e7c1a64dc05bf7af9b414413d68c086c3354293e3ebc3c
- Size of remote file:
- 6.71 kB
- SHA256:
- 60e3d51ab6d75d44c633a9a0aa57b47bc459a72ada584092e48ce999c131c700
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