Instructions to use danelcsb/rtdetr_v2_r50vd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danelcsb/rtdetr_v2_r50vd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="danelcsb/rtdetr_v2_r50vd")# Load model directly from transformers import AutoTokenizer, AutoModelForObjectDetection tokenizer = AutoTokenizer.from_pretrained("danelcsb/rtdetr_v2_r50vd") model = AutoModelForObjectDetection.from_pretrained("danelcsb/rtdetr_v2_r50vd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 906be73439a6d836b2ddec41b0a92a5c103e48bbfd1b066859427d19be2c8f38
- Size of remote file:
- 172 MB
- SHA256:
- 3331d977dbc0c7a6cdae9ec0b0b6ad156eb6720d65b7cf0fa710dcc541d88d71
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