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:
- fc22ca358168c80f018120b063a6089835edd7b78197a9724e94301eb17d8e2b
- Size of remote file:
- 141 MB
- SHA256:
- 708cab1abb2a97ff499084e5280c3ebf7286acb7fb3ba40b8ab15f8113c89b07
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