Automatic Speech Recognition
Transformers
Safetensors
whisper
asr
french
speech-recognition
stt
multilingual
research
baseline
Instructions to use Lexia-Labs/lexia-fr-source with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lexia-Labs/lexia-fr-source with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Lexia-Labs/lexia-fr-source")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Lexia-Labs/lexia-fr-source") model = AutoModelForSpeechSeq2Seq.from_pretrained("Lexia-Labs/lexia-fr-source", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d219c7be19b7379aa443753f0606df4d653d4671d62d7631239b9e27dd009e47
- Size of remote file:
- 3.09 GB
- SHA256:
- 0b6cec457d94c03789deae2c9b1c64ed0bb095dcab21cb45c1e152ce577b1c64
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