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Diffstat (limited to 'candle-transformers/src/models/mod.rs')
| -rw-r--r-- | candle-transformers/src/models/mod.rs | 16 |
1 files changed, 16 insertions, 0 deletions
diff --git a/candle-transformers/src/models/mod.rs b/candle-transformers/src/models/mod.rs index 23edf349..571a8861 100644 --- a/candle-transformers/src/models/mod.rs +++ b/candle-transformers/src/models/mod.rs @@ -1,3 +1,19 @@ +//! Candle implementations for various deep learning models +//! +//! This crate provides implementations of popular machine learning models and architectures for different modalities. +//! +//! - Large language models: [`llama`], [`phi3`], [`mamba`], [`mixtral`], [`bert`], ... +//! - Text to text models: [`t5`], ... +//! - Image to text models: [`blip`], ... +//! - Text to image models: [`stable_diffusion`] and [`wuerstchen`], ... +//! - Audio models: [`whisper`], [`encodec`], [`metavoice`], [`parler_tts`], ... +//! - Computer vision models: [`dinov2`], [`convmixer`], [`efficientnet`], ... +//! +//! Some of the models also have quantized variants, e.g. [`quantized_blip`], [`quantized_llama`] and [`quantized_qwen2`]. +//! +//! The implementations aim to be readable while maintaining good performance. For more information +//! on each model see the model's module docs in the links below. + pub mod based; pub mod beit; pub mod bert; |