Instructions to use eeeebbb2/2a482079-7616-410e-9581-d0ea6a23eb7f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/2a482079-7616-410e-9581-d0ea6a23eb7f 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, "eeeebbb2/2a482079-7616-410e-9581-d0ea6a23eb7f") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 966285b0a0a99174f520a7e5f6c7978b06636a83d6ddc5dac0f0b44e6e7f0ab3
- Size of remote file:
- 15 kB
- SHA256:
- 3f8f1f6bb51297cfa30ecef789d4386f4c5045967013ef66b7b97d4624b0cfa6
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