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README.md
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@@ -57,7 +57,7 @@ pip install dytr
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## Quick Start
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```python
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from dytr import DynamicTransformer, ModelConfig, TaskConfig, TrainingStrategy, Trainer SingleDatasetProcessing
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import pandas as pd
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# 1. Configure your transformer
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# Initialize trainer and train
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trainer = Trainer(model, config, exp_dir="./experiments")
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train_datasets = {"sentiment_analysis": (train_dataset, TrainingStrategy.SENTENCE_CLASSIFICATION)}
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model = trainer.train([
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# 4. Generate predictions
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result = model.generate("This product is amazing!", task_name="sentiment_analysis")
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lm_task.task_name: (lm_dataset, lm_task.training_strategy),
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}
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#classification_task.task_name: (class_val_dataset, classification_task.training_strategy)
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}
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## Quick Start
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```python
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from dytr import DynamicTransformer, ModelConfig, TaskConfig, TrainingStrategy, Trainer, SingleDatasetProcessing
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import pandas as pd
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# 1. Configure your transformer
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# Initialize trainer and train
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trainer = Trainer(model, config, exp_dir="./experiments")
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train_datasets = {"sentiment_analysis": (train_dataset, TrainingStrategy.SENTENCE_CLASSIFICATION)}
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model = trainer.train([task], train_datasets, {})# you can set more than one for list of tasks and dataset for multitasks training
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# 4. Generate predictions
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result = model.generate("This product is amazing!", task_name="sentiment_analysis")
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lm_task.task_name: (lm_dataset, lm_task.training_strategy),
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}
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val_datasets = {
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#classification_task.task_name: (class_val_dataset, classification_task.training_strategy)
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}
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