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Longformer Base 4096 Spanish Finetuned Squad

Developed by mrm8488
This is a Spanish Longformer-based model fine-tuned on the SQAC dataset for question-answering tasks, supporting text sequences up to 4,096 tokens in length.
Downloads 98
Release Time : 3/2/2022

Model Overview

This model is specifically designed for Spanish question-answering tasks, capable of extracting answers from long documents. Based on the RoBERTa architecture, it is pre-trained and fine-tuned for Spanish long-text Q&A scenarios.

Model Features

Long text processing capability
Supports text sequences up to 4,096 tokens, suitable for long-document Q&A tasks
Spanish language optimization
Pre-trained and fine-tuned specifically for Spanish, excelling in Spanish Q&A tasks
Based on high-quality dataset
Fine-tuned on the SQAC dataset, which contains 6,247 text passages and 18,817 Q&A pairs

Model Capabilities

Spanish text comprehension
Long-document Q&A
Answer extraction
Context understanding

Use Cases

Education
Encyclopedia Q&A system
Building an automated Q&A system based on Spanish Wikipedia content
Can accurately answer various questions about encyclopedia knowledge
News
News content analysis
Extracting key information from Spanish news reports to answer questions
Helps users quickly grasp news highlights
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