Instructions to use SvNext/GambleStrTestYOLO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SvNext/GambleStrTestYOLO with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="SvNext/GambleStrTestYOLO")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("SvNext/GambleStrTestYOLO") model = AutoModelForObjectDetection.from_pretrained("SvNext/GambleStrTestYOLO", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ce6e46cdb9d8b3c13ca349a6322b761d4db346b70eb7eb2f97b5747781671e5
- Size of remote file:
- 25.9 MB
- SHA256:
- d374dade0ebd80d80170d207e24c6e17e274a5ca0162870bfb709776c66da122
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