Instructions to use carpedm20/DEIMv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use carpedm20/DEIMv2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="carpedm20/DEIMv2")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("carpedm20/DEIMv2", dtype="auto") - TensorRT
How to use carpedm20/DEIMv2 with TensorRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
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