Instructions to use hf-internal-testing/tiny-random-SegGptModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-SegGptModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-SegGptModel")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-SegGptModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-SegGptModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9f97ee160d607e64d67a2a38357942fc27453d64f4a3b15fce709eb6ba1da7d9
- Size of remote file:
- 115 kB
- SHA256:
- 32100a2992807333035291ac4dd8e17077d68928a0e0ec4c7840ab171a26e97f
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