Instructions to use laquythang/9d94bc60-34ce-43f9-8b83-e855fe65505c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use laquythang/9d94bc60-34ce-43f9-8b83-e855fe65505c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/zephyr-sft") model = PeftModel.from_pretrained(base_model, "laquythang/9d94bc60-34ce-43f9-8b83-e855fe65505c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e18b9bfa8d5f1aaec9ef99a6641093f244caf76e8c5032f016afd275d1c5ae8
- Size of remote file:
- 6.78 kB
- SHA256:
- 700ea1dbd9d12873b7a5a0e0f14c0d7f3d8ac789618dd469c00af268eb950b3b
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