Instructions to use Showroom/clothing_subcategory_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Showroom/clothing_subcategory_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Showroom/clothing_subcategory_classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Showroom/clothing_subcategory_classifier") model = AutoModelForSequenceClassification.from_pretrained("Showroom/clothing_subcategory_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Showroom/clothing_subcategory_classifier: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/Showroom/clothing_subcategory_classifier/resolve/main/tokenizer.json
- Command line
-
hf download hf://Showroom/clothing_subcategory_classifier/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Showroom/clothing_subcategory_classifier/resolve/main/tokenizer.json
2.11 MB
- Xet hash:
- 4f040cc09b8436ead4ed9a4f5f9848849ad3c9f0b0990e0b3fab4d8b8cff1d59
- Size of remote file:
- 2.11 MB
- SHA256:
- 1017e98cae7ab86294d6ac1459c72f2c3e2138057acc8c589383db9acb5931c3
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