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Xglm 4.5B

Developed by facebook
XGLM-4.5B is a multilingual autoregressive language model with 4.5 billion parameters, trained on a balanced corpus of 134 languages.
Downloads 78
Release Time : 3/2/2022

Model Overview

This model is a multilingual autoregressive language model that supports various natural language processing tasks, particularly suitable for few-shot learning scenarios.

Model Features

Multilingual Support
Supports text generation and understanding in 134 languages.
Few-shot Learning
Performs exceptionally well in few-shot learning scenarios.
Large-scale Parameters
With 4.5 billion parameters, it possesses powerful language understanding and generation capabilities.

Model Capabilities

Text Generation
Language Understanding
Few-shot Learning
Multilingual Processing

Use Cases

Natural Language Processing
COPA Task
Evaluates the model's performance on the Choice of Plausible Alternatives task.
Performs well in English, Chinese, and Hindi examples.
Education
Multilingual Learning Assistance
Helps students learn grammar and vocabulary in multiple languages.
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