Instructions to use vermoney/ab1d118f-299c-450a-9e2f-42a14f119465 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vermoney/ab1d118f-299c-450a-9e2f-42a14f119465 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EleutherAI/pythia-70m") model = PeftModel.from_pretrained(base_model, "vermoney/ab1d118f-299c-450a-9e2f-42a14f119465") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d69c2b087727c9f32267c9196820291f9c7aff9895aca985b7fbabb7d27e7a4b
- Size of remote file:
- 6.3 MB
- SHA256:
- 54b4a3f137bef382f579f8e92904fcfdae7d9ff199277f86bb425d18ae90f49e
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