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Canine C Squad
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Canine C Squad

Developed by Splend1dchan
CANINE-C is a character-based pre-trained Transformer model developed by Google, specifically designed for question answering tasks involving long text sequences.
Question Answering System
Transformers
#Question Answering System#Long Text Processing#Low-Resource Optimization
Downloads 68
Release Time : 4/8/2022

Model Overview

CANINE-C is an efficient character-level Transformer model that reduces computational complexity to handle long text sequences, making it particularly suitable for tasks requiring long-context understanding such as question answering systems.

Model Features

Character-Level Processing
Directly processes raw character input without tokenization, reducing preprocessing steps.
Efficient Long-Sequence Processing
Efficiently handles long text sequences through downsampling and upsampling mechanisms.
Pre-trained Model
Pre-trained on large-scale corpora and can be fine-tuned for specific downstream tasks.

Model Capabilities

Question Answering System
Text Understanding
Long Text Processing

Use Cases

Question Answering System
SQuAD QA
Implements question answering functionality on the Stanford Question Answering Dataset (SQuAD).
F1 score 72.19, exact match 58.89
Document Understanding
Long Document Analysis
Processes and analyzes long document content.
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