Instructions to use prxy5608/baa9b3e9-6814-4768-b4bc-00f064231908 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5608/baa9b3e9-6814-4768-b4bc-00f064231908 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-7B-Instruct") model = PeftModel.from_pretrained(base_model, "prxy5608/baa9b3e9-6814-4768-b4bc-00f064231908") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d6bccd4652f452635de008385a6da01722a64534bc1feb62e9aa62d12f99a4b
- Size of remote file:
- 646 MB
- SHA256:
- 81b4c8a0c1d4b5d9fcb46d222afb3b054fae882e6c402f9ba76fe49ea836501c
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