Instructions to use cvoffer/548b4d7c-da77-44a9-b519-20a2dec076a3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cvoffer/548b4d7c-da77-44a9-b519-20a2dec076a3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "cvoffer/548b4d7c-da77-44a9-b519-20a2dec076a3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c335935bbc03929db76105ff74224810454767d3f1c2fee930e2b1dab8ec4c1b
- Size of remote file:
- 1.06 kB
- SHA256:
- 9c971b41fe7521762372f4d846fdb25f7ae6aeaf0776fa4aa30da6edd7f567bf
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