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Librarian Bot: Add base_model information to model (#2)
Browse files- Librarian Bot: Add base_model information to model (c3f08c950b18a4934012b25be27822b22bacd6ca)
Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>
README.md
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---
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tags:
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- autotrain
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- text-classification
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language:
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- en
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widget:
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- text: " frases-bertimbau-v0.4 This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on an unknown dataset."
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- text: "Model description BERTa is a transformer-based masked language model for the Catalan language. It is based on the [RoBERTA](https://github.com/pytorch/fairseq/tree/master/examples/roberta) base model and has been trained on a medium-size corpus collected from publicly available corpora and crawlers"
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- text: "Model description More information needed"
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datasets:
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- davanstrien/autotrain-data-dataset-mentions
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co2_eq_emissions:
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emissions: 0.008999666562870793
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---
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# Model Trained Using AutoTrain
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---
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language:
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- en
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tags:
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- autotrain
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- text-classification
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datasets:
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- davanstrien/autotrain-data-dataset-mentions
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widget:
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- text: ' frases-bertimbau-v0.4 This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased)
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on an unknown dataset.'
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- text: Model description BERTa is a transformer-based masked language model for the
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Catalan language. It is based on the [RoBERTA](https://github.com/pytorch/fairseq/tree/master/examples/roberta)
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base model and has been trained on a medium-size corpus collected from publicly
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available corpora and crawlers
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- text: Model description More information needed
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co2_eq_emissions:
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emissions: 0.008999666562870793
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base_model: neuralmind/bert-base-portuguese-cased
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---
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# Model Trained Using AutoTrain
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