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Update README.md

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  1. README.md +3 -3
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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
@@ -96,7 +96,7 @@ task = TaskConfig(
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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([classification_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")
@@ -219,7 +219,7 @@ train_datasets = {
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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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  ## 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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