Instructions to use abaddon182/7966716c-87cc-4043-bb7f-61124d2328ea with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use abaddon182/7966716c-87cc-4043-bb7f-61124d2328ea with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "abaddon182/7966716c-87cc-4043-bb7f-61124d2328ea") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 223dc158e10e3269d54b0e6c9073cf2dc115c3fcf702c70960eb1aa5f801fa64
- Size of remote file:
- 6.84 kB
- SHA256:
- a27cba6ad411ea8368a34c58c19262c89ebe13d2f9cd20a01103cf673ac24c17
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