Instructions to use samoline/fa22e1a7-bc51-4e3f-9e62-bb3ccf94ffd8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use samoline/fa22e1a7-bc51-4e3f-9e62-bb3ccf94ffd8 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct") model = PeftModel.from_pretrained(base_model, "samoline/fa22e1a7-bc51-4e3f-9e62-bb3ccf94ffd8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5067e6f88358dec8066dc43a00c09de19b0f7a8e436e59423f3934c5edf05275
- Size of remote file:
- 17.2 MB
- SHA256:
- ade1dac458f86f9bea8bf35b713f14e1bbed24228429534038e9f7e54ea3e8b6
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