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---
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language: fr
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license: mit
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tags:
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- bert
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- language-model
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- flaubert
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- french
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- flaubert-base
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- uncased
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- asr
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- speech
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- oral
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- natural language understanding
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- NLU
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- spoken language understanding
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- SLU
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- understanding
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---
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# FlauBERT-Oral models: Using ASR-Generated Text for Spoken Language Modeling
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**FlauBERT-Oral** are French BERT models trained on a very large amount of automatically transcribed speech from 350,000 hours of diverse French TV shows. They were trained with the [**FlauBERT software**] (https://github.com/getalp/Flaubert) using the same parameters as the [flaubert-base-uncased](https://huggingface.co/flaubert/flaubert_base_uncased) model (12 layers, 12 attention heads, 768 dims, 137M parameters, uncased).
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## Available FlauBERT-Oral models
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`flaubert-oral-asr` : trained from scratch on ASR data, keeping the BPE tokenizer and vocabulary of flaubert-base-uncased
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`flaubert-oral-asr_nb` : trained from scratch on ASR data, BPE tokenizer is also trained on the same corpus
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`flaubert-oral-mixed` : trained from scratch on a mixed corpus of ASR and text data, BPE tokenizer is also trained on the same corpus
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