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:
- 3ff51ef25cf8a81dc30b012569bca76f11b3845df3b6714dac44b0912412934c
- Size of remote file:
- 4.75 MB
- SHA256:
- 39a81a9cc87280a75982fb5447285e740ca0752230e3beb9aca4e854e55b7204
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