Instructions to use polejowska/yolos-tiny-CD45RB-1000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use polejowska/yolos-tiny-CD45RB-1000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="polejowska/yolos-tiny-CD45RB-1000")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("polejowska/yolos-tiny-CD45RB-1000") model = AutoModelForObjectDetection.from_pretrained("polejowska/yolos-tiny-CD45RB-1000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 16fbc5cf1f457bb0b393f5ec134a40435f92058eaec1be63994aac33a0d5f785
- Size of remote file:
- 3.52 kB
- SHA256:
- 6fdb507cf2cc35b00e6671bef204d0105a97a8db84ed73c49d54619b77c17c04
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