Instructions to use gary109/STAS_yolos-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gary109/STAS_yolos-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="gary109/STAS_yolos-base")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("gary109/STAS_yolos-base") model = AutoModelForObjectDetection.from_pretrained("gary109/STAS_yolos-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8597c7212cfccfca8199fffe1e738f20ec700b9f9fef2b6adb5c8afc236bc422
- Size of remote file:
- 511 MB
- SHA256:
- 8d1c288f3079889d2945bb0d0adaca934bbb5f3d46b344e6569cf7c9b51cd861
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