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The pipeline tag "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
Model Card for Model ID
using Mt5-Base for english to persian translation
Model Description
This model is designed to automatically translate English text to Farsi, which uses the pre-trained model of MT5, which is a multilingual seq2seq model.
- Model type: MT5-base.
- Language(s) (NLP): english to persian.
How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
Training Details
Training Data
this model train with 36.000 text en 2 fa from persiannlp/parsinlu_translation_en_fa dataSet
Training Hyperparameters
- Number of Epochs: 2
- Training Batch Size: 8
- evaluation Batch Size: 8
Testing Data, Factors & Metrics
Testing Data
this model test with 4.000 text en 2 fa from persiannlp/parsinlu_translation_en_fa dataSet
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