Instructions to use hackolite/yolos-fashionpedia with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hackolite/yolos-fashionpedia with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="hackolite/yolos-fashionpedia")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("hackolite/yolos-fashionpedia") model = AutoModelForObjectDetection.from_pretrained("hackolite/yolos-fashionpedia", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hackolite/yolos-fashionpedia: direct link, hf CLI and curl.
- Browser
- Download file 123 MB
-
https://huggingface.co/hackolite/yolos-fashionpedia/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://hackolite/yolos-fashionpedia/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hackolite/yolos-fashionpedia/resolve/main/pytorch_model.bin
123 MB
- Xet hash:
- 6aa79d022f13da0664df9943b8d5e5ed50e2fc9b8b375108efe53c60b81f0cb1
- Size of remote file:
- 123 MB
- SHA256:
- 5a5f56d9e4a0bc5402299643dc650a49372c6ef8ef12522dab65611fad148c9d
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