Instructions to use prxy5605/2b7184bb-93d0-4bad-aa9a-3507fcb6ff16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5605/2b7184bb-93d0-4bad-aa9a-3507fcb6ff16 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("echarlaix/tiny-random-PhiForCausalLM") model = PeftModel.from_pretrained(base_model, "prxy5605/2b7184bb-93d0-4bad-aa9a-3507fcb6ff16") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e84f0d19b29c72036e704cbaf53716ad2c5a021805ff95ad593b78989ff4eef
- Size of remote file:
- 345 kB
- SHA256:
- 7c5adfb47c428f82da8818e3b2bdbbe707a24bb9d86f07c9a1c2294995b1f287
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