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Add CLVP (#24745)

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* init commit

* attention arch done except rotary emb

* rotary emb done

* text encoder working

* outputs matching

* arch first pass done

* make commands done, tests and docs remaining

* all tests passed, only docs remaining

* docs done

* doc-builder fix

* convert script removed(not relevant)

* minor comments done

* added ckpt conversion script

* tokenizer done

* very minor fix of index.md 2

* mostly make fixup related

* all done except fe and rotary emb

* very small change

* removed unidecode dependency

* style changes

* tokenizer removed require_backends

* added require_inflect to tokenizer tests

* removed VOCAB_FILES in tokenizer test

* inflect dependency removed

* added rotary pos emb cache and simplified the apply method

* style

* little doc change

* more comments

* feature extractor added

* added processor

* auto-regressive config added

* added CLVPConditioningEncoder

* comments done except the test one

* weights added successfull(NOT tested)

* tokenizer fix with numbers

* generate outputs matching

* almost tests passing Integ tests not written

* Integ tests added

* major CUDA error fixed

* docs done

* rebase and multiple fixes

* fixed rebase overwrites

* generate code simplified and tests for AutoRegressive model added

* minor changes

* refectored gpt2 code in clvp file

* weights done and all code refactored

* mostly done except the fast_tokenizer

* doc test fix

* config file's doc fixes

* more config fix

* more comments

* tokenizer comments mostly done

* modeling file mostly refactored and can load modules

* ClvpEncoder tested

* ClvpDecoder, ClvpModel and ClvpForCausalLM tested

* integration and all tests passed

* more fixes

* docs almost done

* ckpt conversion refectored

* style and some failing tests fix

* comments

* temporary output fix but test_assisted_decoding_matches_greedy_search test fails

* majority changes done

* use_cache outputs same now! Along with the asisted_greedy_decoding test fix

* more comments

* more comments

* prepare_inputs_for_generation fixed and _prepare_model_inputs added

* style fix

* clvp.md change

* moved clvpconditionalencoder norms

* add model to new index

* added tokenizer input_ids_with_special_tokens

* small fix

* config mostly done

* added config-tester and changed conversion script

* more comments

* comments

* style fix

* some comments

* tokenizer changed back to prev state

* small commnets

* added output hidden states for the main model

* style fix

* comments

* small change

* revert small change

* .

* Update clvp.md

* Update test_modeling_clvp.py

* :)

* some minor change

* new fixes

* remove to_dict from FE
This commit is contained in:
Susnato Dhar
2023-11-10 19:19:10 +05:30
committed by GitHub
parent 9dd58c53dd
commit 7e9f10ac94
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README_zh-hant.md
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@@ -281,6 +281,7 @@ conda install -c huggingface transformers
1. **[CLAP](https://huggingface.co/docs/transformers/model_doc/clap)** (from LAION-AI) released with the paper [Large-scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation](https://arxiv.org/abs/2211.06687) by Yusong Wu, Ke Chen, Tianyu Zhang, Yuchen Hui, Taylor Berg-Kirkpatrick, Shlomo Dubnov.
1. **[CLIP](https://huggingface.co/docs/transformers/model_doc/clip)** (from OpenAI) released with the paper [Learning Transferable Visual Models From Natural Language Supervision](https://arxiv.org/abs/2103.00020) by Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, Ilya Sutskever.
1. **[CLIPSeg](https://huggingface.co/docs/transformers/model_doc/clipseg)** (from University of Göttingen) released with the paper [Image Segmentation Using Text and Image Prompts](https://arxiv.org/abs/2112.10003) by Timo Lüddecke and Alexander Ecker.
1. **[CLVP](https://huggingface.co/docs/transformers/main/model_doc/clvp)** released with the paper [Better speech synthesis through scaling](https://arxiv.org/abs/2305.07243) by James Betker.
1. **[CodeGen](https://huggingface.co/docs/transformers/model_doc/codegen)** (from Salesforce) released with the paper [A Conversational Paradigm for Program Synthesis](https://arxiv.org/abs/2203.13474) by Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, Caiming Xiong.
1. **[CodeLlama](https://huggingface.co/docs/transformers/model_doc/llama_code)** (from MetaAI) released with the paper [Code Llama: Open Foundation Models for Code](https://ai.meta.com/research/publications/code-llama-open-foundation-models-for-code/) by Baptiste Rozière, Jonas Gehring, Fabian Gloeckle, Sten Sootla, Itai Gat, Xiaoqing Ellen Tan, Yossi Adi, Jingyu Liu, Tal Remez, Jérémy Rapin, Artyom Kozhevnikov, Ivan Evtimov, Joanna Bitton, Manish Bhatt, Cristian Canton Ferrer, Aaron Grattafiori, Wenhan Xiong, Alexandre Défossez, Jade Copet, Faisal Azhar, Hugo Touvron, Louis Martin, Nicolas Usunier, Thomas Scialom, Gabriel Synnaeve.
1. **[Conditional DETR](https://huggingface.co/docs/transformers/model_doc/conditional_detr)** (from Microsoft Research Asia) released with the paper [Conditional DETR for Fast Training Convergence](https://arxiv.org/abs/2108.06152) by Depu Meng, Xiaokang Chen, Zejia Fan, Gang Zeng, Houqiang Li, Yuhui Yuan, Lei Sun, Jingdong Wang.