bart-large-cnn
BART is a transformer encoder-encoder (seq2seq) model with a bidirectional (BERT-like) encoder and an autoregressive (GPT-like) decoder. You can use this model for text summarization.
- Context window
- — tokens
- Input cost
- $0.00 / 1M
- Output cost
- $0.00 / 1M
- Latency (p50)
- —
