Instructions to use prxy5605/972a7773-df3e-41a6-ae33-0a2e4cb288cd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5605/972a7773-df3e-41a6-ae33-0a2e4cb288cd with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-0.5B") model = PeftModel.from_pretrained(base_model, "prxy5605/972a7773-df3e-41a6-ae33-0a2e4cb288cd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48b286b01f85954b085ec9859f140911e0471d7274c415c4e20960cdf0683bf8
- Size of remote file:
- 6.78 kB
- SHA256:
- 6918b778c0ffadd102626036deb5c348a4a5a586c087c973db1571b035c341f3
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