Instructions to use facebook/sapiens2-seg-1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sapiens2
How to use facebook/sapiens2-seg-1b with sapiens2:
# 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
- sapiens
How to use facebook/sapiens2-seg-1b with sapiens:
# 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
- Transformers
How to use facebook/sapiens2-seg-1b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="facebook/sapiens2-seg-1b")# Load model directly from transformers import AutoImageProcessor, Sapiens2ForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("facebook/sapiens2-seg-1b") model = Sapiens2ForSemanticSegmentation.from_pretrained("facebook/sapiens2-seg-1b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3e20a2cb4fcd5afdd1749c4b8358182224a4a60a9b351c8ca05057c5d24bf182
- Size of remote file:
- 5.88 GB
- SHA256:
- 4b73c44963b377e93fcb4c4053f72a189836a22d05e12c30383046b9cd3c5bd4
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