Image Classification
OpenCLIP
Joblib
Safetensors
English
fashion
attribute-extraction
product-attributes
catalog-enrichment
e-commerce
computer-vision
multi-label-classification
siglip
moda-ner
benchmark
reproducibility
non-commercial
applicability
Eval Results (legacy)
Instructions to use HopitAI/moda-ner-v-fullbody with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use HopitAI/moda-ner-v-fullbody with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:HopitAI/moda-ner-v-fullbody') tokenizer = open_clip.get_tokenizer('hf-hub:HopitAI/moda-ner-v-fullbody') - Notebooks
- Google Colab
- Kaggle
Download schema.json from HopitAI/moda-ner-v-fullbody: direct link, hf CLI and curl.
- Browser
- Download file 431 Bytes
-
https://huggingface.co/HopitAI/moda-ner-v-fullbody/resolve/main/schema.json
- Command line
-
hf download hf://HopitAI/moda-ner-v-fullbody/schema.json
-
curl -L -o schema.json https://huggingface.co/HopitAI/moda-ner-v-fullbody/resolve/main/schema.json
431 Bytes
| { | |
| "_provenance": "Field list is the set of packaged heads in heads/*.joblib.", | |
| "fields": [ | |
| "glasses", | |
| "hat", | |
| "lower_clothing_length", | |
| "lower_fabric", | |
| "lower_pattern", | |
| "neckline", | |
| "neckwear", | |
| "outer_clothing_cardigan", | |
| "outer_fabric", | |
| "outer_pattern", | |
| "ring", | |
| "sleeve_length", | |
| "socks", | |
| "upper_clothing_covering_navel", | |
| "upper_fabric", | |
| "upper_pattern", | |
| "waist_accessories", | |
| "wrist_wearing" | |
| ] | |
| } | |