Instructions to use prxy5605/37f31050-60ed-44b2-9405-ed165addb16b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5605/37f31050-60ed-44b2-9405-ed165addb16b 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, "prxy5605/37f31050-60ed-44b2-9405-ed165addb16b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 790d2b0373d3b79d83566e0c6e42ea96b21b9ba6c2f4cc6839141dbf331d3509
- Size of remote file:
- 646 MB
- SHA256:
- bf82f1f69ab3bada085f1f442710ca7e5c03af4a66fcebdf1cad033adf8994af
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