Instructions to use prxy5608/bf848b64-7d03-40dc-81db-ea4420751f4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5608/bf848b64-7d03-40dc-81db-ea4420751f4b 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, "prxy5608/bf848b64-7d03-40dc-81db-ea4420751f4b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 170fca09e8005e19a8a40e67f00d50c44c71deac7ec0913e122a4a22e48f2b59
- Size of remote file:
- 6.84 kB
- SHA256:
- 63f34c8acbe1831eb4405729aec44090d8efcbe3b83b4b8107b0ed4af3a57ebe
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