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:
- 6a80f5cf4d15ff059bb8e90731ca27fa0a0b56276dece19415cbda6a72b584db
- Size of remote file:
- 15 kB
- SHA256:
- 99173fed299daae1f5e6c8f9b0d7b5a78a70e3246b1684f8bbef4701f252dea0
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