Roberta. This model can tackle the zero-width non-joiner character for Persian writing. Also, the model was trained on new multi-types corpora with a new ...
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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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this model is specifically trained for PerSpaCor a Persian text space corrector you can use this model in https://perspacor.ir additional codes for running ...
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This model is a fine-tuned version of HooshvareLab/roberta-fa-zwnj-base on the None dataset. It achieves the following results on the evaluation set: Loss: ...
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We're on a journey to advance and democratize artificial intelligence through open source and open science.
Missing: قالب گستر سپنتا? q= roberta-
We're on a journey to advance and democratize artificial intelligence through open source and open science.
Missing: قالب گستر سپنتا? q= https://
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 ...
Missing: قالب گستر سپنتا? q= roberta- zwnj-
People also ask
What is the difference between Bert and RoBERTa Tokenizer?
The key differences between RoBERTa and BERT can be summarized as follows: RoBERTa is a reimplementation of BERT with some modifications to the key hyperparameters and minor embedding tweaks. It uses a byte-level BPE as a tokenizer (similar to GPT-2) and a different pretraining scheme.
Is RoBERTa a transformer model?
RoBERTa Model transformer with a sequence classification/regression head on top (a linear layer on top of the pooled output) e.g. for GLUE tasks. This model is a PyTorch torch.
Mar 11, 2024 · RoBERTa base model. Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in this paper ...
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