Instructions to use prxy5607/bd5a8843-00c3-4eea-bc1a-ebe060cf6959 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5607/bd5a8843-00c3-4eea-bc1a-ebe060cf6959 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-random-GemmaForCausalLM") model = PeftModel.from_pretrained(base_model, "prxy5607/bd5a8843-00c3-4eea-bc1a-ebe060cf6959") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 520019777e766542382f2ce45e46cebf4e572bf56cd27a152330c03106de9ee7
- Size of remote file:
- 76.7 kB
- SHA256:
- 3538548c5251da595cbb7aaca06e2ea50f4a761d8a27b78da2d74931d02bbe5d
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