nimaafshar/parsbert-fa-sentiment-twitter

You need 650 megabytes of ram and disk in order to load the model . The model is trained on Persian corpus and is meant to be used on persian texts too . You need to be using Tensorflow, transformers and numpy library to load model. The model was trained on around 600,000 Persian tweets. You need a large amount of RAM and disk space to run the model. You also need to use the model to load a large number of images and videos. You can also use TFAutoModelForSequenceClassification. For example, here is a simple example of the model that is loaded with data from the model’s tokenizer. For,