Instructions to use jtatman/grounding-dino-finetuned-license-plates with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jtatman/grounding-dino-finetuned-license-plates with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-object-detection", model="jtatman/grounding-dino-finetuned-license-plates")# Load model directly from transformers import AutoProcessor, AutoModelForZeroShotObjectDetection processor = AutoProcessor.from_pretrained("jtatman/grounding-dino-finetuned-license-plates") model = AutoModelForZeroShotObjectDetection.from_pretrained("jtatman/grounding-dino-finetuned-license-plates") - Notebooks
- Google Colab
- Kaggle
Finetune process
#1
by 3eliran - opened
Hi James, I would like to know how you managed to train the GroundingDino Model, Because I couldn't
Hi James, I would like to know how you managed to train the GroundingDino Model, Because I couldn't
Take a look at this notebook -lots of trial and error:
https://colab.research.google.com/drive/1fSDTa5oJSQKBIE8Bt1GLVnASB40KpeZL#scrollTo=ZyAtD0L5KR3u
I'll repost it if you have trouble accessing...