Instructions to use peter881122/oceanfff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peter881122/oceanfff with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="peter881122/oceanfff")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("peter881122/oceanfff") model = AutoModelForObjectDetection.from_pretrained("peter881122/oceanfff") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- daa4e54811de1c9335a51065b256c27d8a5aeea9890f4403cb75ee83a9eeedfe
- Size of remote file:
- 26 MB
- SHA256:
- 9af647d3c05153dba94428050302c1e9e46f434e83b11c7348f52cacae8344f4
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