Instructions to use analytics-jiten/object-detection-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use analytics-jiten/object-detection-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="analytics-jiten/object-detection-model")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("analytics-jiten/object-detection-model") model = AutoModelForObjectDetection.from_pretrained("analytics-jiten/object-detection-model") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:1a44b5cff14616677cff2e0d04db9fe98dc897899899bc10532c37af85866c9d
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size 122763272
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