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Fillmaskmodel
A fill-mask model fine-tuned based on xlm-roberta-base for predicting masked text segments
Downloads 46
Release Time : 9/25/2022
Model Overview
This model is a fine-tuned version based on the xlm-roberta-base architecture, specifically designed for fill-mask tasks, capable of predicting masked portions of text.
Model Features
Multilingual support
Based on XLM-RoBERTa architecture, supports text processing in multiple languages
Efficient fine-tuning
Uses AdamWeightDecay optimizer for efficient training
Mixed precision training
Employs mixed_float16 precision for training, balancing speed and accuracy
Model Capabilities
Text filling
Multilingual text processing
Masked language modeling
Use Cases
Text processing
Text auto-completion
Automatically completes masked text segments
Grammar checking
Detects grammatical errors in text through fill-mask
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