Automatic Speech Recognition
Transformers
NeMo
Safetensors
PyTorch
French
parakeet_rnnt
feature-extraction
speech
audio
Transducer
FastConformer
CTC
Transformer
NeMo
Eval Results (legacy)
Instructions to use linagora/linto_stt_fr_fastconformer_pc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use linagora/linto_stt_fr_fastconformer_pc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="linagora/linto_stt_fr_fastconformer_pc")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("linagora/linto_stt_fr_fastconformer_pc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload linto_stt_fr_fastconformer_pc.nemo
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