Image Feature Extraction
Transformers
ONNX
sapiens
sapiens2
vision-transformer
human-centric
feature-extraction
onnxruntime-web
Instructions to use barakplasma/sapiens2-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use barakplasma/sapiens2-onnx with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="barakplasma/sapiens2-onnx")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("barakplasma/sapiens2-onnx", dtype="auto") - sapiens
How to use barakplasma/sapiens2-onnx 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
- sapiens2
How to use barakplasma/sapiens2-onnx 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
- Notebooks
- Google Colab
- Kaggle
Add sapiens2-0.1b FP32 ONNX export
Browse files- sapiens2_0.1b_fp32.onnx +3 -0
sapiens2_0.1b_fp32.onnx
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