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:
- fec49a3ef188dfbaa5700b07431e9257458a9027e5e75b2450aaff62ffd82d29
- Size of remote file:
- 71.9 MB
- SHA256:
- 47b3e2c8a749dabb59fe8419d936cfe13c34e501eeae78d0b310edb6c8781550
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