/
output.spec
98 lines (81 loc) · 4.29 KB
/
output.spec
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Class: LLM_Finetune_API
finetune(self, **kwargs) -> tanuki.models.finetune_job.FinetuneJob
get_finetuned(self, job_id: str, **kwargs) -> tanuki.models.finetune_job.FinetuneJob
list_finetuned(self, limit=100, **kwargs) -> List[tanuki.models.finetune_job.FinetuneJob]
Class: LLM_API
generate(self, model, system_message, prompt, **kwargs)
Class: LLM_Finetune_API
finetune(self, **kwargs) -> tanuki.models.finetune_job.FinetuneJob
get_finetuned(self, job_id: str, **kwargs) -> tanuki.models.finetune_job.FinetuneJob
list_finetuned(self, limit=100, **kwargs) -> List[tanuki.models.finetune_job.FinetuneJob]
Class: LLM_API
generate(self, model, system_message, prompt, **kwargs)
Class: Embedding_API
embed(self, texts: List[str], model: str = None, **kwargs) -> List[tanuki.models.embedding.Embedding]
Class: LLM_Finetune_API
Class Docstring: Helper class that provides a standard way to create an ABC using
inheritance.
finetune(self, **kwargs) -> tanuki.models.finetune_job.FinetuneJob
Docstring: Creates a fine-tuning run
Args:
**kwargs:
Returns:
get_finetuned(self, job_id: str, **kwargs) -> tanuki.models.finetune_job.FinetuneJob
Docstring: Gets a fine-tuning run by id
list_finetuned(self, limit=100, **kwargs) -> List[tanuki.models.finetune_job.FinetuneJob]
Docstring: Gets the last N fine-tuning runs
Class: Embedding_API
Class Docstring: Helper class that provides a standard way to create an ABC using
inheritance.
embed(self, texts: List[str], model: str = None, **kwargs) -> List[tanuki.models.embedding.Embedding]
Docstring: The main embedding function, given the model and prompt, return a vector representation
Class: Embedding_API
Class Docstring: Helper class that provides a standard way to create an ABC using
inheritance.
embed(self, texts: List[str], model: str = None, **kwargs) -> List[tanuki.models.embedding.Embedding]
Docstring: The main embedding function, given the model and prompt, return a vector representation
Class: LLM_API
Class Docstring: Helper class that provides a standard way to create an ABC using
inheritance.
generate(self, model, system_message, prompt, **kwargs)
Docstring: The main generation function, given the args, kwargs, function_modeler, function description and model type, generate a response and check if the datapoint can be saved to the finetune dataset
Class: LLM_Finetune_API
Class Docstring: Helper class that provides a standard way to create an ABC using
inheritance.
finetune(self, **kwargs) -> tanuki.models.finetune_job.FinetuneJob
Docstring: Creates a fine-tuning run
Args:
**kwargs:
Returns:
get_finetuned(self, job_id: str, **kwargs) -> tanuki.models.finetune_job.FinetuneJob
Docstring: Gets a fine-tuning run by id
list_finetuned(self, limit=100, **kwargs) -> List[tanuki.models.finetune_job.FinetuneJob]
Docstring: Gets the last N fine-tuning runs
Class: LLM_API
Class Docstring: Helper class that provides a standard way to create an ABC using
inheritance.
generate(self, model, system_message, prompt, **kwargs)
Docstring: The main generation function, given the args, kwargs, function_modeler, function description and model type, generate a response and check if the datapoint can be saved to the finetune dataset
Class: LLM_Finetune_API
Class Docstring: Helper class that provides a standard way to create an ABC using
inheritance.
finetune(self, **kwargs) -> tanuki.models.finetune_job.FinetuneJob
Docstring: Creates a fine-tuning run
Args:
**kwargs:
Returns:
get_finetuned(self, job_id: str, **kwargs) -> tanuki.models.finetune_job.FinetuneJob
Docstring: Gets a fine-tuning run by id
list_finetuned(self, limit=100, **kwargs) -> List[tanuki.models.finetune_job.FinetuneJob]
Docstring: Gets the last N fine-tuning runs
Class: LLM_API
generate(self, model, system_message, prompt, **kwargs) ->
"""
The main generation function, given the args, kwargs, function_modeler, function description and model type,
generate a response and check if the datapoint can be saved to the finetune dataset
"""
Class: Embedding_API
Class Docstring: Helper class that provides a standard way to create an ABC using
inheritance.
embed(self, texts: List[str], model: str = None, **kwargs) -> List[tanuki.models.embedding.Embedding]
Docstring: The main embedding function, given the model and prompt, return a vector representation