Instructions to use MnLgt/yolo-human-parse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MnLgt/yolo-human-parse with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="MnLgt/yolo-human-parse") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MnLgt/yolo-human-parse", device_map="auto") - Notebooks
- Google Colab
- Kaggle
reorganized dir
Browse files- yolo-human-parse-epoch-110.pt β checkpoint-110/yolo-human-parse-epoch-110.pt +0 -0
- yolo-human-parse-epoch-114.pt β checkpoint-114/yolo-human-parse-epoch-114.pt +0 -0
- yolo-human-parse-epoch-38.pt β checkpoint-38/yolo-human-parse-epoch-38.pt +0 -0
- yolo-human-parse-epoch-64.pt β checkpoint-64/yolo-human-parse-epoch-64.pt +0 -0
- yolo-human-parse-epoch-74.pt β checkpoint-74/yolo-human-parse-epoch-74.pt +0 -0
- yolo-human-parse-epoch-83.pt β checkpoint-83/yolo-human-parse-epoch-83.pt +0 -0
yolo-human-parse-epoch-110.pt β checkpoint-110/yolo-human-parse-epoch-110.pt
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yolo-human-parse-epoch-114.pt β checkpoint-114/yolo-human-parse-epoch-114.pt
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yolo-human-parse-epoch-38.pt β checkpoint-38/yolo-human-parse-epoch-38.pt
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yolo-human-parse-epoch-64.pt β checkpoint-64/yolo-human-parse-epoch-64.pt
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yolo-human-parse-epoch-74.pt β checkpoint-74/yolo-human-parse-epoch-74.pt
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yolo-human-parse-epoch-83.pt β checkpoint-83/yolo-human-parse-epoch-83.pt
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