Instructions to use prxy5608/84e3f9b9-7c10-4820-aa55-3fadc4ef2d79 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5608/84e3f9b9-7c10-4820-aa55-3fadc4ef2d79 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "prxy5608/84e3f9b9-7c10-4820-aa55-3fadc4ef2d79") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 45f3e505ac8ed0432a66bcae2d3567c8d02e259bcf97b766db3f78c639ef4406
- Size of remote file:
- 6.84 kB
- SHA256:
- dc2d91151cacad388622456c0b09eb0f86d1697f900903bb076e7362db50be99
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