Instructions to use prxy5605/dd8e90be-54fc-4ef4-9a89-75ce15d1126e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5605/dd8e90be-54fc-4ef4-9a89-75ce15d1126e 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, "prxy5605/dd8e90be-54fc-4ef4-9a89-75ce15d1126e") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 381b813fe4bb74b1ec17c8f4b03c9c9c5cc719ef4c058d85e385d334c1eb0fcd
- Size of remote file:
- 227 MB
- SHA256:
- 693dbd7366548edd3cc5e58388ac8af47a573af61fab6cf2f9f165d466bc5778
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