索引

A

added_tokens_decoder() (mindformers.models.PreTrainedTokenizer 类方法) (mindformers.models.PreTrainedTokenizerFast 类方法)

added_tokens_encoder() (mindformers.models.PreTrainedTokenizer 类方法) (mindformers.models.PreTrainedTokenizerFast 类方法)

B

batch() (mindformers.models.multi_modal.ModalContentTransformTemplate 方法) build_conversation_input_text() (mindformers.models.multi_modal.ModalContentTransformTemplate 类方法) build_inputs_with_special_tokens() (mindformers.models.LlamaTokenizer 方法) (mindformers.models.LlamaTokenizerFast 方法)

build_labels() (mindformers.models.multi_modal.ModalContentTransformTemplate 方法) build_modal_context() (mindformers.models.multi_modal.ModalContentTransformTemplate 方法)

C

can_generate() (mindformers.models.PreTrainedModel 类方法) chat() (mindformers.generation.GenerationMixin 方法) convert_args_to_mindformers_config() (mindformers.TrainingArguments 方法) convert_ids_to_tokens() (mindformers.models.PreTrainedTokenizer 方法) (mindformers.models.PreTrainedTokenizerFast 方法)

convert_tokens_to_ids() (mindformers.models.PreTrainedTokenizer 方法) (mindformers.models.PreTrainedTokenizerFast 方法) create_token_type_ids_from_sequences() (mindformers.models.LlamaTokenizer 方法)

E

evaluate() (mindformers.Trainer 方法)

F

finetune() (mindformers.Trainer 方法) forward() (mindformers.generation.GenerationMixin 方法) from_config() (mindformers.AutoModel 类方法) (mindformers.AutoModelForCausalLM 类方法) (mindformers.AutoModelForZeroShotImageClassification 类方法) from_dict() (mindformers.models.PretrainedConfig 类方法) from_json_file() (mindformers.models.PretrainedConfig 类方法)

from_pretrained() (mindformers.AutoConfig 类方法) (mindformers.AutoModel 类方法) (mindformers.AutoModelForCausalLM 类方法) (mindformers.AutoModelForZeroShotImageClassification 类方法) (mindformers.AutoProcessor 类方法) (mindformers.AutoTokenizer 类方法) (mindformers.models.PretrainedConfig 类方法) (mindformers.models.PreTrainedModel 类方法)

G

generate() (mindformers.generation.GenerationMixin 方法) get_added_vocab() (mindformers.models.PreTrainedTokenizer 方法) (mindformers.models.PreTrainedTokenizerFast 方法) get_cls() (mindformers.tools.register.MindFormerRegister 类方法) get_config_dict() (mindformers.models.PretrainedConfig 类方法) get_instance() (mindformers.tools.register.MindFormerRegister 类方法)

get_instance_from_cfg() (mindformers.tools.register.MindFormerRegister 类方法) get_moe_config() (mindformers.TrainingArguments 方法) get_need_update_output_items() (mindformers.models.multi_modal.ModalContentTransformTemplate 方法) get_parallel_config() (mindformers.TrainingArguments 方法) get_recompute_config() (mindformers.TrainingArguments 方法) get_special_tokens_mask() (mindformers.models.LlamaTokenizer 方法) get_warmup_steps() (mindformers.TrainingArguments 方法)

I

infer() (mindformers.generation.GenerationMixin 方法)

is_exist() (mindformers.tools.register.MindFormerRegister 类方法)

M

merge_from_dict() (mindformers.tools.MindFormerConfig 方法) mindformers.AutoConfig (內置类) mindformers.AutoModel (內置类) mindformers.AutoModelForCausalLM (內置类) mindformers.AutoModelForZeroShotImageClassification (內置类) mindformers.AutoProcessor (內置类) mindformers.AutoTokenizer (內置类) mindformers.core.AdamW (內置类) mindformers.core.build_context() 內置函数 mindformers.core.Came (內置类) mindformers.core.CheckpointMonitor (內置类) mindformers.core.ConstantWarmUpLR (內置类) mindformers.core.CosineAnnealingLR (內置类) mindformers.core.CosineAnnealingWarmRestarts (內置类) mindformers.core.CosineWithRestartsAndWarmUpLR (內置类) mindformers.core.CosineWithWarmUpLR (內置类) mindformers.core.CrossEntropyLoss (內置类) mindformers.core.EmF1Metric (內置类) mindformers.core.EntityScore (內置类) mindformers.core.EvalCallBack (內置类) mindformers.core.get_context() 內置函数 mindformers.core.init_context() 內置函数 mindformers.core.LearningRateWiseLayer (內置类) mindformers.core.LinearWithWarmUpLR (內置类) mindformers.core.MFLossMonitor (內置类) mindformers.core.PerplexityMetric (內置类) mindformers.core.PolynomialWithWarmUpLR (內置类) mindformers.core.ProfileMonitor (內置类) mindformers.core.PromptAccMetric (內置类) mindformers.core.set_context() 內置函数 mindformers.core.SummaryMonitor (內置类)

mindformers.dataset.CausalLanguageModelDataset (內置类) mindformers.dataset.ContrastiveLanguageImagePretrainDataset (內置类) mindformers.dataset.KeyWordGenDataset (內置类) mindformers.dataset.MultiTurnDataset (內置类) mindformers.generation.GenerationConfig (內置类) mindformers.generation.GenerationMixin (內置类) mindformers.ModelRunner (內置类) mindformers.models.glm2.ChatGLM2Config (內置类) mindformers.models.glm2.ChatGLM2ForConditionalGeneration (內置类) mindformers.models.glm2.ChatGLM3Tokenizer (內置类) mindformers.models.glm2.ChatGLM4Tokenizer (內置类) mindformers.models.LlamaConfig (內置类) mindformers.models.LlamaForCausalLM (內置类) mindformers.models.LlamaTokenizer (內置类) mindformers.models.LlamaTokenizerFast (內置类) mindformers.models.multi_modal.ModalContentTransformTemplate (內置类) mindformers.models.PretrainedConfig (內置类) mindformers.models.PreTrainedModel (內置类) mindformers.models.PreTrainedTokenizer (內置类) mindformers.models.PreTrainedTokenizerFast (內置类) mindformers.modules.OpParallelConfig (內置类) mindformers.pet.models.LoraModel (內置类) mindformers.pet.pet_config.LoraConfig (內置类) mindformers.pet.pet_config.PetConfig (內置类) mindformers.pipeline() 內置函数 mindformers.pipeline.MultiModalToTextPipeline (內置类) mindformers.run_check() 內置函数 mindformers.tools.MindFormerConfig (內置类) mindformers.tools.register.MindFormerModuleType (內置类) mindformers.tools.register.MindFormerRegister (內置类) mindformers.Trainer (內置类) mindformers.TrainingArguments (內置类) mindformers.wrapper.MFPipelineWithLossScaleCell (內置类) mindformers.wrapper.MFTrainOneStepCell (內置类)

N

num_special_tokens_to_add() (mindformers.models.PreTrainedTokenizer 方法) (mindformers.models.PreTrainedTokenizerFast 方法)

P

post_init() (mindformers.models.PreTrainedModel 方法) post_process() (mindformers.models.multi_modal.ModalContentTransformTemplate 方法) postprocess() (mindformers.generation.GenerationMixin 方法)

predict() (mindformers.Trainer 方法) prepare_for_tokenization() (mindformers.models.PreTrainedTokenizer 方法) process_predict_query() (mindformers.models.multi_modal.ModalContentTransformTemplate 方法) process_train_item() (mindformers.models.multi_modal.ModalContentTransformTemplate 方法)

R

register() (mindformers.AutoConfig 类方法) (mindformers.AutoModel 类方法) (mindformers.AutoModelForCausalLM 类方法) (mindformers.AutoModelForZeroShotImageClassification 类方法) (mindformers.AutoProcessor 类方法) (mindformers.AutoTokenizer 类方法) (mindformers.tools.register.MindFormerRegister 类方法)

register_cls() (mindformers.tools.register.MindFormerRegister 类方法) register_for_auto_class() (mindformers.models.PreTrainedModel 类方法)

S

save_pretrained() (mindformers.models.PretrainedConfig 方法) (mindformers.models.PreTrainedModel 方法) save_vocabulary() (mindformers.models.LlamaTokenizerFast 方法) set_dataloader() (mindformers.TrainingArguments 方法) set_logging() (mindformers.TrainingArguments 方法) set_lr_scheduler() (mindformers.TrainingArguments 方法)

set_optimizer() (mindformers.TrainingArguments 方法) set_save() (mindformers.TrainingArguments 方法) set_training() (mindformers.TrainingArguments 方法) set_truncation_and_padding() (mindformers.models.PreTrainedTokenizerFast 方法) show_support_list() (mindformers.AutoConfig 类方法) supported_modal() (mindformers.models.multi_modal.ModalContentTransformTemplate 类方法)

T

to_dict() (mindformers.models.PretrainedConfig 方法) to_diff_dict() (mindformers.models.PretrainedConfig 方法) to_json_file() (mindformers.models.PretrainedConfig 方法)

to_json_string() (mindformers.models.PretrainedConfig 方法) tokenize() (mindformers.models.PreTrainedTokenizer 方法) train() (mindformers.Trainer 方法) train_new_from_iterator() (mindformers.models.PreTrainedTokenizerFast 方法)

U

update_post_processor() (mindformers.models.LlamaTokenizerFast 方法)

內

內置函数 mindformers.core.build_context() mindformers.core.get_context() mindformers.core.init_context() mindformers.core.set_context() mindformers.pipeline() mindformers.run_check()