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
ACL'22: Structured Pruning Learns Compact and Accurate Models

☕ CoFiPruning: Structured Pruning Learns Compact and Accurate Models This repository contains the code and pruned models for our ACL'22 paper Structur

Princeton Natural Language Processing 130 Jan 04, 2023
An open collection of annotated voices in Japanese language

声庭 (Koniwa): オープンな日本語音声とアノテーションのコレクション Koniwa (声庭): An open collection of annotated voices in Japanese language 概要 Koniwa(声庭)は利用・修正・再配布が自由でオープンな音声とアノテ

Koniwa project 32 Dec 14, 2022
TextFlint is a multilingual robustness evaluation platform for natural language processing tasks,

TextFlint is a multilingual robustness evaluation platform for natural language processing tasks, which unifies general text transformation, task-specific transformation, adversarial attack, sub-popu

TextFlint 587 Dec 20, 2022
YACLC - Yet Another Chinese Learner Corpus

汉语学习者文本多维标注数据集YACLC V1.0 中文 | English 汉语学习者文本多维标注数据集(Yet Another Chinese Learner

BLCU-ICALL 47 Dec 15, 2022
A Python script which randomly chooses and prints a file from a directory.

___ ____ ____ _ __ ___ / _ \ | _ \ | _ \ ___ _ __ | '__| / _ \ | |_| || | | || | | | / _ \| '__| | | | __/ | _ || |_| || |_| || __

yesmaybenookay 0 Aug 06, 2021
Python3 to Crystal Translation using Python AST Walker

py2cr.py A code translator using AST from Python to Crystal. This is basically a NodeVisitor with Crystal output. See AST documentation (https://docs.

66 Jul 25, 2022
Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.

anaGo anaGo is a Python library for sequence labeling(NER, PoS Tagging,...), implemented in Keras. anaGo can solve sequence labeling tasks such as nam

Hiroki Nakayama 1.5k Dec 05, 2022
Synthetic data for the people.

zpy: Synthetic data in Blender. Website • Install • Docs • Examples • CLI • Contribute • Licence Abstract Collecting, labeling, and cleaning data for

Zumo Labs 253 Dec 21, 2022
PyABSA - Open & Efficient for Framework for Aspect-based Sentiment Analysis

PyABSA - Open & Efficient for Framework for Aspect-based Sentiment Analysis

YangHeng 567 Jan 07, 2023
Milaan Parmar / Милан пармар / _米兰 帕尔马 170 Dec 13, 2022
A list of NLP(Natural Language Processing) tutorials

NLP Tutorial A list of NLP(Natural Language Processing) tutorials built on PyTorch. Table of Contents A step-by-step tutorial on how to implement and

Allen Lee 1.3k Dec 25, 2022
Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing

Introduction Funnel-Transformer is a new self-attention model that gradually compresses the sequence of hidden states to a shorter one and hence reduc

GUOKUN LAI 197 Dec 11, 2022
Simple python code to fix your combo list by removing any text after a separator or removing duplicate combos

Combo List Fixer A simple python code to fix your combo list by removing any text after a separator or removing duplicate combos Removing any text aft

Hamidreza Dehghan 3 Dec 05, 2022
Write Python in Urdu - اردو میں کوڈ لکھیں

UrduPython Write simple Python in Urdu. How to Use Write Urdu code in سامپل۔پے The mappings are as following: "۔": ".", "،":

Saad A. Bazaz 26 Nov 27, 2022
Final Project Bootcamp Zero

The Quest (Pygame) Descripción Este es el repositorio de código The-Quest para el proyecto final Bootcamp Zero de KeepCoding. El juego consiste en la

Seven-z01 1 Mar 02, 2022
scikit-learn wrappers for Python fastText.

skift scikit-learn wrappers for Python fastText. from skift import FirstColFtClassifier df = pandas.DataFrame([['woof', 0], ['meow', 1]], colu

Shay Palachy 233 Sep 09, 2022
ChessCoach is a neural network-based chess engine capable of natural-language commentary.

ChessCoach is a neural network-based chess engine capable of natural-language commentary.

Chris Butner 380 Dec 03, 2022
Ongoing research training transformer language models at scale, including: BERT & GPT-2

What is this fork of Megatron-LM and Megatron-DeepSpeed This is a detached fork of https://github.com/microsoft/Megatron-DeepSpeed, which in itself is

BigScience Workshop 316 Jan 03, 2023
Use Google's BERT for named entity recognition (CoNLL-2003 as the dataset).

For better performance, you can try NLPGNN, see NLPGNN for more details. BERT-NER Version 2 Use Google's BERT for named entity recognition (CoNLL-2003

Kaiyinzhou 1.2k Dec 26, 2022