Official source for spanish Language Models and resources made @ BSC-TEMU within the "Plan de las Tecnologías del Lenguaje" (Plan-TL).

Overview

Spanish Language Models 💃🏻

Corpora 📃

Corpora Number of documents Size (GB)
BNE 201,080,084 570GB

Models 🤖

Word embeddings 🔤

Word embeddings trained with FastText for 300d:

Evaluation

Dataset Metric RoBERTa-b RoBERTa-l BETO mBERT BERTIN
UD-POS F1 0.9907 0.9901 0.9900 0.9886 0.9904
Conll-NER F1 0.8851 0.8772 0.8759 0.8691 0.8627
Capitel-POS F1 0.9846 0.9851 0.9836 0.9839 0.9826
Capitel-NER F1 0.8959 0.8998 0.8771 0.8810 0.8741
STS Combined 0.8423 0.8420 0.8216 0.8249 0.7822
MLDoc Accuracy 0.9595 0.9600 0.9650 0.9560 0.9673
PAWS-X F1 0.9035 0.9000 0.8915 0.9020 0.8820
XNLI Accuracy 0.8016 WiP 0.8130 0.7876 WiP

Usage example ⚗️

For the RoBERTa-base

from transformers import AutoModelForMaskedLM
from transformers import AutoTokenizer, FillMaskPipeline
from pprint import pprint
tokenizer_hf = AutoTokenizer.from_pretrained('BSC-TeMU/roberta-base-bne')
model = AutoModelForMaskedLM.from_pretrained('BSC-TeMU/roberta-base-bne')
model.eval()
pipeline = FillMaskPipeline(model, tokenizer_hf)
text = f"¡Hola <mask>!"
res_hf = pipeline(text)
pprint([r['token_str'] for r in res_hf])

For the RoBERTa-large

from transformers import AutoModelForMaskedLM
from transformers import AutoTokenizer, FillMaskPipeline
from pprint import pprint
tokenizer_hf = AutoTokenizer.from_pretrained('BSC-TeMU/roberta-large-bne')
model = AutoModelForMaskedLM.from_pretrained('BSC-TeMU/roberta-large-bne')
model.eval()
pipeline = FillMaskPipeline(model, tokenizer_hf)
text = f"¡Hola <mask>!"
res_hf = pipeline(text)
pprint([r['token_str'] for r in res_hf])

Other Spanish Language Models 👩‍👧‍👦

We are developing domain-specific language models:

Cite 📣

@misc{gutierrezfandino2021spanish,
      title={Spanish Language Models}, 
      author={Asier Gutiérrez-Fandiño and Jordi Armengol-Estapé and Marc Pàmies and Joan Llop-Palao and Joaquín Silveira-Ocampo and Casimiro Pio Carrino and Aitor Gonzalez-Agirre and Carme Armentano-Oller and Carlos Rodriguez-Penagos and Marta Villegas},
      year={2021},
      eprint={2107.07253},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

Contact 📧

📋 We are interested in (1) extending our corpora to make larger models (2) train/evaluate the model in other tasks.

For questions regarding this work, contact Asier Gutiérrez-Fandiño ([email protected])

Owner
PlanTL-SANIDAD
PlanTL-SANIDAD
Sample data associated with the Aurora-BP study

The Aurora-BP Study and Dataset This repository contains sample code, sample data, and explanatory information for working with the Aurora-BP dataset

Microsoft 16 Dec 12, 2022
This repository is home to the Optimus data transformation plugins for various data processing needs.

Transformers Optimus's transformation plugins are implementations of Task and Hook interfaces that allows execution of arbitrary jobs in optimus. To i

Open Data Platform 37 Dec 14, 2022
2021语言与智能技术竞赛:机器阅读理解任务

LICS2021 MRC 1. 项目&任务介绍 本项目基于官方给定的baseline(DuReader-Checklist-BASELINE)进行二次改造,对整个代码框架做了简单的重构,对核心网络结构添加了注释,解耦了数据读取的模块,并添加了阈值确认的功能,一些小的细节也做了改进。 本次任务为202

roar 29 Dec 05, 2022
Continuously update some NLP practice based on different tasks.

NLP_practice We will continuously update some NLP practice based on different tasks. prerequisites Software pytorch = 1.10 torchtext = 0.11.0 sklear

0 Jan 05, 2022
text to speech toolkit. 好用的中文语音合成工具箱,包含语音编码器、语音合成器、声码器和可视化模块。

ttskit Text To Speech Toolkit: 语音合成工具箱。 安装 pip install -U ttskit 注意 可能需另外安装的依赖包:torch,版本要求torch=1.6.0,=1.7.1,根据自己的实际环境安装合适cuda或cpu版本的torch。 ttskit的

KDD 483 Jan 04, 2023
The model is designed to train a single and large neural network in order to predict correct translation by reading the given sentence.

Neural Machine Translation communication system The model is basically direct to convert one source language to another targeted language using encode

Nishant Banjade 7 Sep 22, 2022
Adversarial Examples for Extreme Multilabel Text Classification

Adversarial Examples for Extreme Multilabel Text Classification The code is adapted from the source codes of BERT-ATTACK [1], APLC_XLNet [2], and Atte

1 May 14, 2022
Pattern Matching in Python

Pattern Matching finalmente chega no Python 3.10. E daí? "Pattern matching", ou "correspondência de padrões" como é conhecido no Brasil. Algumas pesso

Fabricio Werneck 6 Feb 16, 2022
Spooky Skelly For Python

_____ _ _____ _ _ _ | __| ___ ___ ___ | |_ _ _ | __|| |_ ___ | || | _ _ |__ || . || . || . || '

Kur0R1uka 1 Dec 23, 2021
Finally, some decent sample sentences

tts-dataset-prompts This repository aims to be a decent set of sentences for people looking to clone their own voices (e.g. using Tacotron 2). Each se

hecko 19 Dec 13, 2022
Clone a voice in 5 seconds to generate arbitrary speech in real-time

This repository is forked from Real-Time-Voice-Cloning which only support English. English | 中文 Features 🌍 Chinese supported mandarin and tested with

Weijia Chen 25.6k Jan 06, 2023
Text Normalization(文本正则化)

Text Normalization(文本正则化) 任务描述:通过机器学习算法将英文文本的“手写”形式转换成“口语“形式,例如“6ft”转换成“six feet”等 实验结果 XGBoost + bag-of-words: 0.99159 XGBoost+Weights+rules:0.99002

Jason_Zhang 0 Feb 26, 2022
Correctly generate plurals, ordinals, indefinite articles; convert numbers to words

NAME inflect.py - Correctly generate plurals, singular nouns, ordinals, indefinite articles; convert numbers to words. SYNOPSIS import inflect p = in

Jason R. Coombs 762 Dec 29, 2022
An ultra fast tiny model for lane detection, using onnx_parser, TensorRTAPI, torch2trt to accelerate. our model support for int8, dynamic input and profiling. (Nvidia-Alibaba-TensoRT-hackathon2021)

Ultra_Fast_Lane_Detection_TensorRT An ultra fast tiny model for lane detection, using onnx_parser, TensorRTAPI to accelerate. our model support for in

steven.yan 121 Dec 27, 2022
Visual Automata is a Python 3 library built as a wrapper for Caleb Evans' Automata library to add more visualization features.

Visual Automata Copyright 2021 Lewi Lie Uberg Released under the MIT license Visual Automata is a Python 3 library built as a wrapper for Caleb Evans'

Lewi Uberg 55 Nov 17, 2022
Auto-researching tool generating word documents.

About ResearchTE automates researching by generating document with answers to given questions. Supports getting results from: Google DuckDuckGo (with

1 Feb 14, 2022
Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"

GAN stability This repository contains the experiments in the supplementary material for the paper Which Training Methods for GANs do actually Converg

Lars Mescheder 884 Nov 11, 2022
A python package to fine-tune transformer-based models for named entity recognition (NER).

nerblackbox A python package to fine-tune transformer-based language models for named entity recognition (NER). Resources Source Code: https://github.

Felix Stollenwerk 13 Jul 30, 2022
A Chinese to English Neural Model Translation Project

ZH-EN NMT Chinese to English Neural Machine Translation This project is inspired by Stanford's CS224N NMT Project Dataset used in this project: News C

Zhenbang Feng 29 Nov 26, 2022