Instructions to use shubhamWi91/train64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shubhamWi91/train64 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="shubhamWi91/train64")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("shubhamWi91/train64") model = AutoModelForObjectDetection.from_pretrained("shubhamWi91/train64") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 07c697aa2ee932991e5a9715a165b0ad4f2462799c3f6d9222914c98ee6e4fcb
- Size of remote file:
- 243 MB
- SHA256:
- bb5f3f618092ccdf5d35bf25c1174e08dbb3122c4df2a803c9e8649c0190e2cf
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