Instructions to use hf-internal-testing/tiny-random-TableTransformerForObjectDetection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-TableTransformerForObjectDetection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="hf-internal-testing/tiny-random-TableTransformerForObjectDetection")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-TableTransformerForObjectDetection") model = AutoModelForObjectDetection.from_pretrained("hf-internal-testing/tiny-random-TableTransformerForObjectDetection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-internal-testing/tiny-random-TableTransformerForObjectDetection: direct link, hf CLI and curl.
- Browser
- Download file 103 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-TableTransformerForObjectDetection/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-TableTransformerForObjectDetection@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-TableTransformerForObjectDetection/resolve/refs%2Fpr%2F1/model.safetensors
103 MB
- Xet hash:
- 635379501fe27c40c302b7b841aee729969bcd8640654a935bbce34b7ff2ecb0
- Size of remote file:
- 103 MB
- SHA256:
- ea8ecc5aa4e057458041cbcb7aa967c56bc412cb6b4e7792c7d81643e6d6d03d
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