Loads a dataset, presumably for Tamil language processing (prompt generation or translation-related). Fine-tunes a pre-trained multilingual transformer model (MT5) on this dataset. Preprocesses the data by combining "Act" and "Prompt" fields into the model input. Trains the model using a standard training loop with a validation set. Saves the fine-tuned model. Includes a utility function to convert CSV data to JSON format for use with the training pipeline.
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Model tree for Sathya1984/Tamilprompt_sample_model
Base model
google/mt5-small