Instructions to use nhoxinh/6136622c-48a3-45eb-82a2-3aff080c5693 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhoxinh/6136622c-48a3-45eb-82a2-3aff080c5693 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EleutherAI/pythia-160m") model = PeftModel.from_pretrained(base_model, "nhoxinh/6136622c-48a3-45eb-82a2-3aff080c5693") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cbbd9968be70989cc752cd31cb002c8bc4181d6f367bf47f92eed4c894f92f3d
- Size of remote file:
- 6.78 kB
- SHA256:
- c13adf67751b8345a4fe86bfc80355c8e6ade05d8d2471b7cee81956e308248b
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