Instructions to use LucyintheSky/pose-estimation-front-side-back with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LucyintheSky/pose-estimation-front-side-back with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="LucyintheSky/pose-estimation-front-side-back") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("LucyintheSky/pose-estimation-front-side-back") model = AutoModelForImageClassification.from_pretrained("LucyintheSky/pose-estimation-front-side-back", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Fix task tag
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by merve HF Staff - opened
README.md
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model-index:
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- name: pose-estimation-front-side-back
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results: []
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---
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# Pose Estimation: front,side,back
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- Transformers 4.34.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.14.0
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model-index:
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- name: pose-estimation-front-side-back
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results: []
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pipeline_tag: keypoint-detection
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# Pose Estimation: front,side,back
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- Transformers 4.34.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.14.0
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