The QARiB-Sentiment-Reviews-Tweets (QSRT) Model is the continuation of training from the last checkpoint of the QSR model for an additional 300k training steps (600k in total with QSR training steps). The QSRT model was trained for roughly 52 epochs using sentiment dataset contains both tweets and reviews (consists of 1,433,657 sentences).

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This model is not currently available via any of the supported third-party Inference Providers, and the model is not deployed on the HF Inference API.