Image Classification
OpenCLIP
Safetensors
English
fashion
attribute-extraction
product-attributes
catalog-enrichment
e-commerce
computer-vision
multi-label-classification
siglip
moda-ner
benchmark
reproducibility
fashionpedia
mit
Eval Results (legacy)
Instructions to use HopitAI/moda-ner-v-crop with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use HopitAI/moda-ner-v-crop with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:HopitAI/moda-ner-v-crop') tokenizer = open_clip.get_tokenizer('hf-hub:HopitAI/moda-ner-v-crop') - Notebooks
- Google Colab
- Kaggle
File size: 1,869 Bytes
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