Instructions to use prxy5607/f7293db8-0de2-4e19-a611-d5a58c0e425b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5607/f7293db8-0de2-4e19-a611-d5a58c0e425b 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, "prxy5607/f7293db8-0de2-4e19-a611-d5a58c0e425b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0e8df5801b67a49533523159335cefe5745e0af2c7eff2432d377066065f2538
- Size of remote file:
- 227 MB
- SHA256:
- 7ac4645c2e4c7381d8543e18182353bb8c8a23d94d2ab346ce684aa68e50fe15
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