Instructions to use ToastyPigeon/qwen32-rp-ws with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ToastyPigeon/qwen32-rp-ws with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-32B-Instruct") model = PeftModel.from_pretrained(base_model, "ToastyPigeon/qwen32-rp-ws") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b2c459309a4ef46a929976e5f0eaa3f8f2332a80cc7e039668c888fd5541d8cb
- Size of remote file:
- 8.18 kB
- SHA256:
- 46a20499ca8ea692b5968a49d8b65a9c4a05bc57c11f746f4f918fe5a43a7b77
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