* dinov2
* add another example
* ad dinov2reg4
* eva2
* efficientvit
* moondream
* update t5
* update t5
* rwkv
* stable diffusion docs
* add wasm link
* add segment_anything
* adjsut for clippy
* ignore bertdoc
* dinov2 ignore
* update block to be text
* remove the rust blocks for the moment
* bump python to 3.11
* add a setup-python step
* add py311 to test as well
* links in chinese_clip
* links for clip model
* add mod docs for flux and llava
* module doc for MMDIT and MIMI
* add docs for a few more modesl
* mod docs for bert naser and beit
* add module docs for convmixer colpali codegeex and chatglm
* add another series of moddocs
* add fastvit-llama2_c
* module docs mamba -> mobileone
* module docs from moondream-phi3
* mod docs for quantized and qwen
* update to yi
* fix long names
* Update llama2_c.rs
* Update llama2_c_weights.rs
* Fix the link for mimi + tweaks
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Co-authored-by: Laurent Mazare <laurent.mazare@gmail.com>
* Add Llama 3.1 rope
* Clippy
* Format
* Clippy
* Add support for multiple eos tokens:
* Untagged either
* Remove either dep and fix settings.json
* Make the max positional embeddings configurable
* This change avoids crashes when running T5 models with F16 tensors on CPU.
* This enables running ProstT5's (https://huggingface.co/Rostlab/ProstT5) encoder-only mode in Candle. This ProstT5 mode stores it's embed_tokens weights within the encoder, as its decoding stage was replaced with a CNN. You could write more, like: This alone is not sufficient to run ProstT5 within Candle examples. We will develop a ProstT5 runner outside candle for now, but would be willing to upstream it to candle-examples at a later point.
* Revert "This enables running ProstT5's (https://huggingface.co/Rostlab/ProstT5) encoder-only mode in Candle. This ProstT5 mode stores it's embed_tokens weights within the encoder, as its decoding stage was replaced with a CNN. You could write more, like: This alone is not sufficient to run ProstT5 within Candle examples. We will develop a ProstT5 runner outside candle for now, but would be willing to upstream it to candle-examples at a later point."
This reverts commit d886d3ce5e.
* This change avoids crashes when running T5 models with F16 tensors on CPU.
* This enables running ProstT5's (https://huggingface.co/Rostlab/ProstT5) encoder-only mode in Candle. This ProstT5 mode stores it's embed_tokens weights within the encoder, as its decoding stage was replaced with a CNN. This alone is not sufficient to run ProstT5 within Candle examples. We will develop a ProstT5 runner outside candle for now, but would be willing to upstream it to candle-examples at a later point.
* Add support to UL2 model family
* Update docs with UL2
* Create ActivationWithOptionalGating to avoid polluting activations
* Also refactor quantized t5
* Remove useless conversion
* Revert Activation::NewGelu name change
* Remove useless return
* Apply rustfmt and clippy recommendations
* Reuse t5::ActivationWithOptionalGating in quantized version
* (cosmetic change) use a match rather than ifs + avoid early returns.
---------
Co-authored-by: Laurent <laurent.mazare@gmail.com>
* Load t5 decoder
* Run enc, dec, and lm head, but no cross attn
* Cross-attention over key_value_states
* New arg for decoder input ids
* Add mask, don't forward position biases through decoder
* Update t5 examples
* Clippy + rustfmt
