Instructions to use prxy5606/a5f1640b-7c13-4fca-b363-c1be33e5cffe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5606/a5f1640b-7c13-4fca-b363-c1be33e5cffe 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, "prxy5606/a5f1640b-7c13-4fca-b363-c1be33e5cffe") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb2adc2b2636bce9f3a2f41e3ae753e88dea4fcf8aa6e603c374d247aa7338a0
- Size of remote file:
- 141 MB
- SHA256:
- d918d78257c080d824bf00c0dd2ea56f99c424964deb9eb3e091ccf9bf0e8674
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