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
Ajout du modèle bofenghuang/whisper-large-v3-french
Browse files- ggml-model.bin +3 -0
ggml-model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:5ab80e8f3a3e6b01d0edae18e297e2a7d37f39a2095e96693cab19de115bb4b3
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size 3095033483
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