Instructions to use prxy5605/a9b0317d-c334-46f6-ad0b-1efe57d67c2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5605/a9b0317d-c334-46f6-ad0b-1efe57d67c2b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-135M") model = PeftModel.from_pretrained(base_model, "prxy5605/a9b0317d-c334-46f6-ad0b-1efe57d67c2b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 35c05893ba393edbdd11988d5727e94bf72bd2786445901fda65ae9c954dacf3
- Size of remote file:
- 5.96 MB
- SHA256:
- 4689b134b6553a43b3085c2cc05bb0da45c489dc8633c02e774a6b99775a2fcf
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