Instructions to use hf-internal-testing/tiny-random-yolos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-yolos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="hf-internal-testing/tiny-random-yolos")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-yolos") model = AutoModelForObjectDetection.from_pretrained("hf-internal-testing/tiny-random-yolos") - Notebooks
- Google Colab
- Kaggle
Upload ONNX weights
#1
by Xenova HF Staff - opened
- onnx/model.onnx +3 -0
onnx/model.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:01f8c303762be6d6fe48abee9a05349ec17c95480a86fbd89c27da999e2dd830
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size 860620
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