Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use tinutmap/ai-browsing-categories-text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tinutmap/ai-browsing-categories-text with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tinutmap/ai-browsing-categories-text")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tinutmap/ai-browsing-categories-text") model = AutoModelForSequenceClassification.from_pretrained("tinutmap/ai-browsing-categories-text", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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v0.0.2 model with tinutmap/ai-browsing-categories-data version 0.0.2 dataset (all visual categories data points migrated except those under 'Casegoods')
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Initial model version with tinutmap/ai-browsing-categories-data v.0.0.1 dataset (all visual categories data points migrated except those under 'Casegoods')
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initial commit
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