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:
- b490baedf4bdd365146c742fe7f97b0aed941e489a9af7655f016b6cf1b337b1
- Size of remote file:
- 14.2 kB
- SHA256:
- 3c5ef470c9e44503ca8fc3698504a7796da617018cc24ee51ae21cbd82c0ce52
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