ParsBERT is a monolingual language model based on Google's BERT architecture with the same configurations as BERT-Base. Paper presenting ParsBERT: arXiv: ...
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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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May 27, 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?
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.
How to download BERT-base-uncased model?
Download the model by cloning the repository via git clone https://huggingface.co/OWG/bert-base-uncased .
Is DistilBERT base uncased better than BERT-base-uncased?
DistilBERT is small, fast, cheaper, smaller and light transformer trained by distilling Bert base. It has 40% less parameters than Bert-base-uncased, runs 60% faster while preserving over 95% of BERT's performances.
How to download BERT model from Huggingface?
The models are automatically cached locally when you first use it. So, to download a model, all you have to do is run the code that is provided in the model card (I chose the corresponding model card for bert-base-uncased ).
May 27, 2020 · We're on a journey to advance and democratize artificial intelligence through open source and open science.
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BERT is a transformers model pretrained on a large corpus of English data in a self-supervised fashion. This means it was pretrained on the raw texts only, with ...
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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.
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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/ ...
This task aims to extract named entities in the text, such as names and label with appropriate NER classes such as locations, organizations, etc. The datasets ...
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