Edit model card
YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/model-cards#model-card-metadata)

Vocabulary Trimmed google/mt5-small: vocabtrimmer/mt5-small-trimmed-fr-30000

This model is a trimmed version of google/mt5-small by vocabtrimmer, a tool for trimming vocabulary of language models to compress the model size. Following table shows a summary of the trimming process.

google/mt5-small vocabtrimmer/mt5-small-trimmed-fr-30000
parameter_size_full 300,176,768 74,783,104
parameter_size_embedding 256,114,688 30,721,024
vocab_size 250,112 30,001
compression_rate_full 100.0 24.91
compression_rate_embedding 100.0 12.0

Following table shows the parameter used to trim vocabulary.

language dataset dataset_column dataset_name dataset_split target_vocab_size min_frequency
fr vocabtrimmer/mc4_validation text fr validation 30000 2
Downloads last month
7
Inference API
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.