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
v1.1: verified 213M fashion-vocab build (gate: 100% bit-identity on 18K texts, graceful OOV fallback)
19b930b verified Download tokenizer.json from HopitAI/moda-pro-lite: direct link, hf CLI and curl.
- Browser
- Download file 3.19 MB
-
https://huggingface.co/HopitAI/moda-pro-lite/resolve/main/tokenizer.json
- Command line
-
hf download hf://HopitAI/moda-pro-lite/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/HopitAI/moda-pro-lite/resolve/main/tokenizer.json
3.19 MB
- Xet hash:
- 15c9a85d1bb733a0a2c4a24c4d1292dbb81dc3079bfc1f76a0667bd0a860521b
- Size of remote file:
- 3.19 MB
- SHA256:
- 9c638d37b2bf0d43f97f3241e9d4ac2872485d485f79e981f89ef46764d583f2
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