halstonblim/distilbert-base-uncased-finetuned-sst-2-english 📝 → ❓
About
Classifies text with fine tuned BERT. The model handles batched input texts in a single API call to improve performance and reduce costs.
Example Output
Output
{"confidences":[0.9994000196456909,0.9998000264167786],"predicted_labels":[0,1]}
Performance Metrics
0.30s
Prediction Time
191.17s
Total Time
Input Parameters
- texts (required)
- A JSON-formatted list of texts for sentiment analysis
Output Schema
Output
Version Details
- Version ID
d1a897bcd8ebb23c5aab87317eee2d6c919cdc5cfbf9154140c5c2fb47344b8c- Version Created
- April 18, 2025