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Quentin Gallouédec
2025-05-17 03:41:24 +00:00
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candle-transformers/src/models/t5.rs
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//! - ⚡ [Interactive Wasm Example](https://huggingface.co/spaces/radames/Candle-T5-Generation-Wasm)
//! - 💻[GH Model](https://github.com/huggingface/transformers/blob/main/src/transformers/models/t5/modeling_t5.py)
//! - 🤗 [HF Link](https://huggingface.co/docs/transformers/model_doc/t5)
//! - 📝 [T5 Paper](https://arxiv.org/abs/1910.10683)
//! - 📝 [T5 Paper](https://huggingface.co/papers/1910.10683)
//!
//! # Encoder-decoder example:
//!
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//! # Translation with MADLAD
//!
//!
//! [MADLAD-400](https://arxiv.org/abs/2309.04662) is a series of multilingual machine translation T5 models trained on 250 billion tokens covering over 450 languages using publicly available data. These models are competitive with significantly larger models.
//! [MADLAD-400](https://huggingface.co/papers/2309.04662) is a series of multilingual machine translation T5 models trained on 250 billion tokens covering over 450 languages using publicly available data. These models are competitive with significantly larger models.
//!
//! ```bash
//! cargo run --example t5 --release -- \