Automatic Speech Recognition
Transformers
Safetensors
whisper
asr
french
speech-recognition
stt
multilingual
research
baseline
Instructions to use MEscriva/gilbert-fr-source with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MEscriva/gilbert-fr-source with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MEscriva/gilbert-fr-source")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("MEscriva/gilbert-fr-source") model = AutoModelForSpeechSeq2Seq.from_pretrained("MEscriva/gilbert-fr-source") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c7b9697e0139e743ad293f6ede9195bd301fc044ddbd7bb3b9a4bb305a81822
- Size of remote file:
- 3.09 GB
- SHA256:
- 6a7b5e9edd46fa88c6bc87d4c4228a1446402fb97902e9b23cd2a5650a3457ab
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