Instructions to use eeeebbb2/9d1a7b67-12b4-403c-af41-93b2632941ac with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/9d1a7b67-12b4-403c-af41-93b2632941ac with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-7B-Instruct") model = PeftModel.from_pretrained(base_model, "eeeebbb2/9d1a7b67-12b4-403c-af41-93b2632941ac") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d6fe7b49194c2b176e02d060e3e23fcefa4e007e7e452ca7fb433692a156eb46
- Size of remote file:
- 6.84 kB
- SHA256:
- f4dda1a56c3184ec49ac250e0e8bd06d97e1fd14f19f1cbfcf016467e67da131
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