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")# 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
- Xet hash:
- f8c50f57c60b1c401e18a0c72d479d34d46289f78f5b91d04caf54e2a9ed0ee9
- Size of remote file:
- 5.78 kB
- SHA256:
- 274a64f700a777af07b97093aa337c1f8ed89d4361acd7f47d86ea484cd17377
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