Instructions to use bigmouse/Fashionpedia57000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bigmouse/Fashionpedia57000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="bigmouse/Fashionpedia57000")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("bigmouse/Fashionpedia57000") model = AutoModelForObjectDetection.from_pretrained("bigmouse/Fashionpedia57000") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
https://github.com/KMnP/fashionpedia-api Trained "detection-datasets/fashionpedia" hugging face dataset with the following params: training_args = TrainingArguments( output_dir="trained_model", per_device_train_batch_size=8, num_train_epochs=10, fp16=False, save_steps=200, logging_first_step=True, logging_steps=10, learning_rate=1e-5, weight_decay=1e-4, save_total_limit=2, remove_unused_columns=False, push_to_hub=False, )
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