Spaces:
Runtime error
Runtime error
File size: 1,219 Bytes
65c2769 704dc9c 65c2769 704dc9c 7360456 704dc9c 7360456 704dc9c 7360456 704dc9c 7360456 704dc9c 7360456 704dc9c 7360456 704dc9c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 |
---
title: Gradio NLP - Berta Masked Example
emoji: 💻
colorFrom: yellow
colorTo: red
sdk: gradio
sdk_version: 3.23.0
app_file: app.py
pinned: false
---
# Masked Language Modeling Example
by [nurasaki](https://huggingface.co./spaces/nurasaki)
* Space : [https://huggingface.co./spaces/nurasaki/gradio_nlp_berta_masked_example](https://huggingface.co./spaces/nurasaki/gradio_nlp_berta_masked_example)
* Model used: Catalan BERTa-v2 (roberta-base-ca-v2) base model
* Hugginface link: [https://huggingface.co./projecte-aina/roberta-base-ca-v2](https://huggingface.co./projecte-aina/roberta-base-ca-v2)
<br>
## Model description
The **roberta-base-ca-v2** 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.
<br>
## Usage
The model accepts an input text with a *mask* (for example, "La meva mare es diu \<mask\>.") and generates the *k* most probable words that could fill the *mask* position in the sentence.
Choose one of the provided examples or enter your own masked text.
<br>
|