Persian Sentiment [Digikala, SnappFood, DeepSentiPers]. It aims to classify text, such as comments, based on their emotional bias. We tested three well-known ...
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ParsBERT (v2.0). A Transformer-based Model for Persian Language Understanding. We reconstructed the vocabulary and fine-tuned the ParsBERT v1.1 on the new ...
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Sep 7, 2020 · We're on a journey to advance and democratize artificial intelligence through open source and open science.
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People also ask
What is BERT-base-uncased used for?
What is the vocab size of BERT-base-uncased?
What are the base tasks of BERT?
What is ParsBERT?
We're on a journey to advance and democratize artificial intelligence through open source and open science.
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BERT base model (uncased). Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in this paper and first ...
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The model HooshvareLab bert fa base-uncased-sentiment-snappfood is a Natural Language Processing (NLP) Model implemented in Transformer library, generally using ...
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ParsBERT is a monolingual language model based on Google's BERT architecture. This model is pre-trained on large Persian corpora with various writing styles ...
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