Instructions to use eeeebbb2/65ac5ec0-b3d5-493d-a2dd-d0643be5e765 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/65ac5ec0-b3d5-493d-a2dd-d0643be5e765 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "eeeebbb2/65ac5ec0-b3d5-493d-a2dd-d0643be5e765") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b2aa6546fb020482a57b955303e5633de16ce49b7d7fd2ee3e638cc34ae5790
- Size of remote file:
- 6.84 kB
- SHA256:
- 73bb493504d50c4795c330782e56e47f896188d8daf99bc6491327b07a7b95a3
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