Instructions to use AnnaZhang/lwdetr_tiny_60e_coco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnnaZhang/lwdetr_tiny_60e_coco with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="AnnaZhang/lwdetr_tiny_60e_coco")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("AnnaZhang/lwdetr_tiny_60e_coco") model = AutoModelForObjectDetection.from_pretrained("AnnaZhang/lwdetr_tiny_60e_coco", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from AnnaZhang/lwdetr_tiny_60e_coco: direct link, hf CLI and curl.
- Browser
- Download file 48.3 MB
-
https://huggingface.co/AnnaZhang/lwdetr_tiny_60e_coco/resolve/main/model.safetensors
- Command line
-
hf download hf://AnnaZhang/lwdetr_tiny_60e_coco/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/AnnaZhang/lwdetr_tiny_60e_coco/resolve/main/model.safetensors
48.3 MB
- Xet hash:
- 689f0b40377ab2c3120b83528f7a40d5272e7ce0a939e6ac4f680a91bdb48d64
- Size of remote file:
- 48.3 MB
- SHA256:
- 42dece9592febf9a340a660014710507cbfa50d04b5dd9b67c5514a9978813e6
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