Instructions to use amirivojdan/ChickenDETRv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amirivojdan/ChickenDETRv2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="amirivojdan/ChickenDETRv2")# Load model directly from transformers import AutoTokenizer, AutoModelForObjectDetection tokenizer = AutoTokenizer.from_pretrained("amirivojdan/ChickenDETRv2") model = AutoModelForObjectDetection.from_pretrained("amirivojdan/ChickenDETRv2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b5bf1c9f2d824a1f874cffccf59923b46c872c83916b6e95469402c31c5f166
- Size of remote file:
- 5.78 kB
- SHA256:
- 0ab9281b07e59b1cd2d99e29c38a2310e1269ded226721171605a1f43cdcdfe9
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