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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We're on a journey to advance and democratize artificial intelligence through open source and open science.
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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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We're on a journey to advance and democratize artificial intelligence through open source and open science.
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Sep 12, 2020 · First of all, you can download vocab.txt from here. https://cdn.huggingface.co/HooshvareLab/bert-base-parsbert-uncased/vocab.txt.
Oct 18, 2021 · But I am running it remotely, so I can't download via the method above. But I do not know which files I need from here: https://huggingface.co/ ...
People also ask
What is BERT-base-uncased used for?
It allows the model to learn a bidirectional representation of the sentence. Next sentence prediction (NSP): the models concatenates two masked sentences as inputs during pretraining. Sometimes they correspond to sentences that were next to each other in the original text, sometimes not.
What is the vocab size of BERT-base-uncased?
The BERT model used in this tutorial ( bert-base-uncased ) has a vocabulary size V of 30522. With the embedding size of 768, the total size of the word embedding table is ~ 4 (Bytes/FP32) * 30522 * 768 = 90 MB.
How to download BERT-base-uncased model?
Download the model by cloning the repository via git clone https://huggingface.co/OWG/bert-base-uncased .
What is ParsBERT?
🤗 ParsBERT: Transformer-based Model for Persian Language Understanding.
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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huggingface.co › raw › main › vocab
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