# Spanish NLP

This is a zero-shot classification model based on Spanish, suitable for multilingual natural language understanding tasks.

This is a Spanish sentence similarity model based on sentence-transformers, capable of mapping sentences and paragraphs into a 768-dimensional dense vector space.

CPU-optimized Spanish processing pipeline, including tokenization, POS tagging, dependency parsing, named entity recognition, etc.

Stanza is an efficient natural language processing toolkit that supports syntax analysis, parsing, and entity recognition for Spanish.

A medium-sized Spanish NLP processing pipeline provided by spaCy, optimized for CPU usage, containing complete language processing components

A CPU-optimized Spanish natural language processing pipeline, including tokenization, part-of-speech tagging, dependency parsing, named entity recognition, and more.

BETO is a BERT model trained on a large Spanish corpus, this version is fine-tuned for Spanish question answering tasks

This is a Spanish subset model extracted from distilbert-base-multilingual-cased, a distilled version of the BERT base multilingual model with a smaller parameter size while retaining core functionality.

A RoBERTa base model trained on Spanish legal domain corpus, specializing in Spanish legal text processing

Spanish pretrained language model based on RoBERTa architecture, focusing on masked language modeling tasks

A customized distilled version of distilbert-base-multilingual-cased, specifically optimized for Spanish language processing