2 Commits

Author	SHA1	Message	Date
Steven Liu	c0f8d055ce	[docs] Redesign (#31757) ... * toctree * not-doctested.txt * collapse sections * feedback * update * rewrite get started sections * fixes * fix * loading models * fix * customize models * share * fix link * contribute part 1 * contribute pt 2 * fix toctree * tokenization pt 1 * Add new model (#32615) * v1 - working version * fix * fix * fix * fix * rename to correct name * fix title * fixup * rename files * fix * add copied from on tests * rename to `FalconMamba` everywhere and fix bugs * fix quantization + accelerate * fix copies * add `torch.compile` support * fix tests * fix tests and add slow tests * copies on config * merge the latest changes * fix tests * add few lines about instruct * Apply suggestions from code review Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * fix * fix tests --------- Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * "to be not" -> "not to be" (#32636) * "to be not" -> "not to be" * Update sam.md * Update trainer.py * Update modeling_utils.py * Update test_modeling_utils.py * Update test_modeling_utils.py * fix hfoption tag * tokenization pt. 2 * image processor * fix toctree * backbones * feature extractor * fix file name * processor * update not-doctested * update * make style * fix toctree * revision * make fixup * fix toctree * fix * make style * fix hfoption tag * pipeline * pipeline gradio * pipeline web server * add pipeline * fix toctree * not-doctested * prompting * llm optims * fix toctree * fixes * cache * text generation * fix * chat pipeline * chat stuff * xla * torch.compile * cpu inference * toctree * gpu inference * agents and tools * gguf/tiktoken * finetune * toctree * trainer * trainer pt 2 * optims * optimizers * accelerate * parallelism * fsdp * update * distributed cpu * hardware training * gpu training * gpu training 2 * peft * distrib debug * deepspeed 1 * deepspeed 2 * chat toctree * quant pt 1 * quant pt 2 * fix toctree * fix * fix * quant pt 3 * quant pt 4 * serialization * torchscript * scripts * tpu * review * model addition timeline * modular * more reviews * reviews * fix toctree * reviews reviews * continue reviews * more reviews * modular transformers * more review * zamba2 * fix * all frameworks * pytorch * supported model frameworks * flashattention * rm check_table * not-doctested.txt * rm check_support_list.py * feedback * updates/feedback * review * feedback * fix * update * feedback * updates * update --------- Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com> Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> Co-authored-by: Quentin Gallouédec <45557362+qgallouedec@users.noreply.github.com>	2025-03-03 10:33:46 -08:00
eustlb	5f087d1335	Add Moonshine (#34784) ... * config draft * full encoder forward * full decoder forward * fix sdpa and FA2 * fix sdpa and FA2 * moonshine model * moonshine model forward * fix attention with past_key_values * add MoonshineForConditionalGeneration * fix cache handling and causality for cross attention * no causal attention mask for the encoder * model addition (imports etc) * small nit * nits * Update src/transformers/models/moonshine/convert_usefulsensors_to_hf.py Co-authored-by: Joshua Lochner <admin@xenova.com> * add rope_theta * nits * model doc * Update src/transformers/models/auto/configuration_auto.py Co-authored-by: Joshua Lochner <admin@xenova.com> * imports * add MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING_NAMES * updates modular * make * make fix-copies * ruff check examples fix * fix check_modular_conversion * nit * nits * nits * copied from -> imports * imports fix * integrate attention refacto * modular edge case * remove encoder * convolutions params in config * run modular_model_converter * make * Update docs/source/en/model_doc/moonshine.md Co-authored-by: Joshua Lochner <admin@xenova.com> * MoonshineModelTest * correct typo * make style * integration tests * make * modular convert * name conversion update (up_proj -> fc1 etc) * update config * update MLP * update attention * update encoder layer * update decoder layer * update convolutions parameters * update encoder * remove INPUTS_DOCSTRING * update decoder * update conditional generation * update pretrained model * imports * modular converted * update doc * fix * typo * update doc * update license * update init * split config in file * two classes for MLP * attention from GLM * from GlmRotaryEmbedding * split MLP * apply arthur's review suggestions * apply arthur's review suggestions * apply arthur's review suggestions * auto feature extractor * convert modular * fix + make * convert modular * make * unsplit config * use correct checkpoint * wrap generate * update tests * typos * make * typo * update doc --------- Co-authored-by: Joshua Lochner <admin@xenova.com>	2025-01-10 11:00:54 +01:00