Instructions to use Quexoo/vision-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Quexoo/vision-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Quexoo/vision-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Quexoo/vision-classifier") model = AutoModelForSequenceClassification.from_pretrained("Quexoo/vision-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2663a283c9862fd047363db6c89ad690992ca18c2229433ff58f6f26497b3613
- Size of remote file:
- 268 MB
- SHA256:
- 795010930a121a8037cfa581b9ad9136ece26c996f7e702fb0a04e71192ef1c5
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