Instructions to use jmgrodriguez/main_hf_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jmgrodriguez/main_hf_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="jmgrodriguez/main_hf_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("jmgrodriguez/main_hf_cppe5") model = AutoModelForObjectDetection.from_pretrained("jmgrodriguez/main_hf_cppe5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a66ba97a17fb1eaa00d518aebbfe03883882455af071645217de82fc03c2c9ab
- Size of remote file:
- 174 MB
- SHA256:
- f310c93db1eeaa826b7f4cadf979ed60ffdd49e5f7862c624b861829fb616f30
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