Instructions to use rawhad/grounding-dino-base-screen-ai-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rawhad/grounding-dino-base-screen-ai-v0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-object-detection", model="rawhad/grounding-dino-base-screen-ai-v0")# Load model directly from transformers import AutoProcessor, AutoModelForZeroShotObjectDetection processor = AutoProcessor.from_pretrained("rawhad/grounding-dino-base-screen-ai-v0") model = AutoModelForZeroShotObjectDetection.from_pretrained("rawhad/grounding-dino-base-screen-ai-v0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from rawhad/grounding-dino-base-screen-ai-v0: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
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https://huggingface.co/rawhad/grounding-dino-base-screen-ai-v0/resolve/main/tokenizer.json
- Command line
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hf download hf://rawhad/grounding-dino-base-screen-ai-v0/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/rawhad/grounding-dino-base-screen-ai-v0/resolve/main/tokenizer.json
711 kB
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