Instructions to use RationAI/LSP-DETR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RationAI/LSP-DETR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="RationAI/LSP-DETR", trust_remote_code=True)# Load model directly from transformers import AutoModelForObjectDetection model = AutoModelForObjectDetection.from_pretrained("RationAI/LSP-DETR", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 02fb328d89c80ed3283a52fa901c062b4b64222a20acaf83b3040dd832c20ceb
- Size of remote file:
- 180 MB
- SHA256:
- 99b0d385faba4ecb55f9586f57db9c454d41716f5f86614e6110b7f18ec4aca6
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