Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
French
whisper
Generated from Trainer
Eval Results (legacy)
# Load model directly
from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
processor = AutoProcessor.from_pretrained("JaepaX/whisper-tiny-fr")
model = AutoModelForSpeechSeq2Seq.from_pretrained("JaepaX/whisper-tiny-fr")Quick Links
Whisper tiny fr - JaepaX
This model is a fine-tuned version of openai/whisper-tiny on the fr datasets.
WER Result
It achieves the following results on the evaluation sets
- Mulit-Libri : "26.1",
- common : "40.0"
- voxpopuli : "29.4"
- fleurs : "33.7"
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Datasets used to train JaepaX/whisper-tiny-fr
Evaluation results
- Werself-reported40.000
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="JaepaX/whisper-tiny-fr")