Instructions to use davidhajdu/dab_detr_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davidhajdu/dab_detr_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="davidhajdu/dab_detr_finetuned_cppe5")# Load model directly from transformers import AutoTokenizer, AutoModelForObjectDetection tokenizer = AutoTokenizer.from_pretrained("davidhajdu/dab_detr_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("davidhajdu/dab_detr_finetuned_cppe5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 86e58678f5c21307b2beda24729a5bff414edef2c07ded35c6b40b44f7ee9093
- Size of remote file:
- 175 MB
- SHA256:
- 70e82d0528cacd81bef9bf4bceb1114b65bfc4ee90e974a80005c3fb2d500540
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