mindformers

Auto Classes

`mindformers.AutoConfig`	This is a generic configuration class that will be instantiated as one of the configuration classes of the library when created with the `from_pretrained()` class method.
`mindformers.AutoModel`	This is a generic model class that will be instantiated as one of the base model classes of the library when created with the AutoModel.from_pretrained class method or the AutoModel.from_config class method.
`mindformers.AutoModelForCausalLM`	This is a generic model class that will be instantiated as one of the model classes of the library (with a causal language modeling head) when created with the AutoModelForCausalLM.from_pretrained class method or the AutoModelForCausalLM.from_config class method.
`mindformers.AutoModelForZeroShotImageClassification`	This is a generic model class that will be instantiated as one of the model classes of the library (with a zero-shot image classification head) when created with the AutoModelForZeroShotImageClassification.from_pretrained class method or the AutoModelForZeroShotImageClassification.from_config class method.
`mindformers.AutoProcessor`	This is a generic processor class that will be instantiated as one of the processor classes of the library when created with the `from_pretrained()` class method.
`mindformers.AutoTokenizer`	This is a generic tokenizer class that will be instantiated as one of the tokenizer classes of the library when created with the from_pretrained class method.

`mindformers.Trainer`	Executor of general task trainers.
`mindformers.TrainingArguments`	TrainingArguments is the subset of the arguments we use in our default config which is related to the training in MindSpore.

Pipeline for executing the inference flow of integrated tasks and models.

Check whether the installed CANN, driver, MindSpore and MindFormers versions are matched.

ModelRunner API, supports MindFormers to be a backend of MindIEServer.