Zero-Shot Image Classification
OpenCLIP
Safetensors
fashion
retrieval
text-to-image
siglip2
e-commerce
moda
Eval Results (legacy)
Instructions to use HopitAI/moda-pro-lite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use HopitAI/moda-pro-lite with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:HopitAI/moda-pro-lite') tokenizer = open_clip.get_tokenizer('hf-hub:HopitAI/moda-pro-lite') - Notebooks
- Google Colab
- Kaggle
config: tokenizer resolves from this repo (trimmed vocab)
Browse files- open_clip_config.json +1 -1
open_clip_config.json
CHANGED
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@@ -13,7 +13,7 @@
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"text_cfg": {
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"context_length": 64,
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"vocab_size": 44646,
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"hf_tokenizer_name": "
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"tokenizer_kwargs": {
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"clean": "canonicalize"
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},
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"text_cfg": {
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"context_length": 64,
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"vocab_size": 44646,
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+
"hf_tokenizer_name": "HopitAI/moda-pro-lite",
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"tokenizer_kwargs": {
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"clean": "canonicalize"
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},
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