Fill-Mask
Transformers
PyTorch
Catalan
roberta
catalan
masked-lm
RoBERTa-base-ca-v2
CaText
Catalan Textual Corpus
Instructions to use projecte-aina/roberta-base-ca-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use projecte-aina/roberta-base-ca-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="projecte-aina/roberta-base-ca-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("projecte-aina/roberta-base-ca-v2") model = AutoModelForMaskedLM.from_pretrained("projecte-aina/roberta-base-ca-v2") - Notebooks
- Google Colab
- Kaggle
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**[VilaQuAD](https://doi.org/10.5281/zenodo.4562337)**: contains 6,282 pairs of questions and answers, outsourced from 2095 Catalan language articles from VilaWeb newswire text.
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**[CatalanQA]()**: an aggregation of 2 previous datasets (VilaQuAD and ViquiQuAD), 21,427 pairs of Q/A balanced by type of question, containing one question and one answer per context, although the contexts can repeat multiple times.
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**[XQuAD](https://doi.org/10.5281/zenodo.4526223)**: the Catalan translation of XQuAD, a multilingual collection of manual translations of 1,190 question-answer pairs from English Wikipedia used only as a _test set_
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**[VilaQuAD](https://doi.org/10.5281/zenodo.4562337)**: contains 6,282 pairs of questions and answers, outsourced from 2095 Catalan language articles from VilaWeb newswire text.
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**[CatalanQA](projecte-aina/catalanqa)**: an aggregation of 2 previous datasets (VilaQuAD and ViquiQuAD), 21,427 pairs of Q/A balanced by type of question, containing one question and one answer per context, although the contexts can repeat multiple times.
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**[XQuAD](https://doi.org/10.5281/zenodo.4526223)**: the Catalan translation of XQuAD, a multilingual collection of manual translations of 1,190 question-answer pairs from English Wikipedia used only as a _test set_
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