Instructions to use fimbit/detr_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fimbit/detr_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="fimbit/detr_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("fimbit/detr_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("fimbit/detr_finetuned_cppe5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8539f6f980a83006832b4cbdbf49643d6fa3fa9dc73f51153abebd40c2f504d5
- Size of remote file:
- 174 MB
- SHA256:
- 7cbb50a9cb989260cd49f52ce504cc3143d3f898d2230a99236d96f1215d45b6
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