Instructions to use vmpsergio/08b96eb6-b5dd-4d8a-b1c3-40bd336afa6e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vmpsergio/08b96eb6-b5dd-4d8a-b1c3-40bd336afa6e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen1.5-14B-Chat") model = PeftModel.from_pretrained(base_model, "vmpsergio/08b96eb6-b5dd-4d8a-b1c3-40bd336afa6e") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e0e3545ca268a7740a2eb75c80cb28a93f224c82181981b2ab12d1f80b6a186a
- Size of remote file:
- 250 MB
- SHA256:
- 13353a937ba116d921736b1317161913e320986afe6e6cbb978133d1bd78c31a
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