pyabsa.framework.predictor_class.predictor_template
Module Contents
Classes
- class pyabsa.framework.predictor_class.predictor_template.Predictor(checkpoint=None, cal_perplexity=False, **kwargs)[source]
Bases:
pyabsa.framework.prediction_class.predictor_template.InferenceModel- to(device=None)[source]
Sets the device on which the model will perform inference.
- Parameters:
device – the device to use for inference
- cuda(device='cuda:0')[source]
Sets the device to CUDA for performing inference.
- Parameters:
device – the CUDA device to use for inference
- abstract batch_infer(target_file=None, print_result=True, save_result=False, ignore_error=True, **kwargs)[source]
Runs inference on a batch of data from a file or list, and returns the results.
- Parameters:
target_file – the path to a file containing the input data, or a list of input data
print_result – whether to print the results to the console
save_result – whether to save the results to a file
ignore_error – whether to ignore errors during inference and continue with the remaining data
kwargs – additional arguments to pass to the _run_prediction method
- Returns:
a list of results from running inference on the input data
- abstract infer(text: str = None, print_result=True, ignore_error=True, **kwargs)[source]
Runs inference on a single input, and returns the result.
- Parameters:
text – the input text to run inference on
print_result – whether to print the result to the console
ignore_error – whether to ignore errors during inference and return None instead
kwargs – additional arguments to pass to the _run_prediction method
- Returns:
the result from running inference on the input text
- abstract batch_predict(target_file=None, print_result=True, save_result=False, ignore_error=True, **kwargs)[source]
Predict the sentiment from a file of sentences. param: target_file: the file path of the sentences to be predicted. param: print_result: whether to print the result. param: save_result: whether to save the result. param: ignore_error: whether to ignore the error when predicting. param: kwargs: other parameters.
- abstract predict(text: str | list[str] = None, print_result=True, ignore_error=True, **kwargs)[source]
Predict the sentiment from a sentence or a list of sentences. param: text: the sentence to be predicted. param: print_result: whether to print the result. param: ignore_error: whether to ignore the error when predicting. param: kwargs: other parameters.