Instructions to use error577/6a592a8f-5e2d-4c7c-82c1-7580802ce941 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/6a592a8f-5e2d-4c7c-82c1-7580802ce941 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "error577/6a592a8f-5e2d-4c7c-82c1-7580802ce941") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cbc829ff79ffd52195aa44eaa225073fa8adc6920c0b0efe09e73b1d4beaea9d
- Size of remote file:
- 6.78 kB
- SHA256:
- fe3156ef19dcfb06aa7125e4292740a0842bff6b783a5a7cd689ff7510418059
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