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:
- 0a451cd77fa9196e6fd7757292e287d45af5cf7cc740c3394ff8362a5019e12a
- Size of remote file:
- 15 kB
- SHA256:
- 6ba16c73f2318541905e46f88190ab327804573b87c5154b5f316e94b466818f
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