Instructions to use robertford/best with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use robertford/best with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="robertford/best")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("robertford/best", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a7c37f62eb9f0a0cc2c2d1fdb0289f0f3a884baf8aed75c88347fd42f6ac049d
- Size of remote file:
- 22.5 MB
- SHA256:
- 7df98478a9bbd2911894bf5365fc1cfd2a7474083b1a3130518ae6fb9bf2d804
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