# tt4l **Repository Path**: fjklqq/tt4l ## Basic Information - **Project Name**: tt4l - **Description**: Training a transformer model for language - **Primary Language**: Python - **License**: Apache-2.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2025-05-22 - **Last Updated**: 2025-05-22 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Training a transformer model for language ## Install ```shell pip install tt4l ``` ## Usage ### Tasks find supported tasks ```shell tt4l tasks ``` | Args | Task Name | Short Description | |----------------------------------|----------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | text_classification | Text Classification | Text classification is a common NLP task that assigns a label or class to text. | | token_classification | Token Classification | Token classification assigns a label to individual tokens in a sentence. One of the most common task is Named Entity Recognition (NER)。 | | universal_information_extraction | Universal Information Extraction | The Unified Information Extraction Framework (UIE) for general information extraction achieves unified modeling of tasks such as entity extraction, relationship extraction, event extraction, and sentiment analysis, and enables good transferability and generalization ability between different tasks. | Show task description. `tt4l desc [TASK_TYPE]` Eg: ```shell tt4l desc text_classification ``` ### init task config file `tt4l init [TASK_TYPE]` Eg: ```shell tt4l init text_classification ``` **Modify the corresponding configuration** ### Train `tt4l train [TASK_TYPE]` Eg: ```shell tt4l train text_classification_task.yaml ``` ### Predict `tt4l predict [YAML]` Eg: ```shell tt4l predict text_classification_task.yaml ``` ### Inference `tt4l inference [TASK_TYPE] [*args]`