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")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("MEscriva/gilbert-fr-source") model = AutoModelForSpeechSeq2Seq.from_pretrained("MEscriva/gilbert-fr-source", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from MEscriva/gilbert-fr-source: direct link, hf CLI and curl.
- Browser
- Download file 3.22 GB
-
https://huggingface.co/MEscriva/gilbert-fr-source/resolve/main/model.safetensors
- Command line
-
hf download hf://MEscriva/gilbert-fr-source/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/MEscriva/gilbert-fr-source/resolve/main/model.safetensors
3.22 GB
- Xet hash:
- 77f8f7fba6aef16596314393c71eaecc395d202d91844ef74bfad420c1a9179d
- Size of remote file:
- 3.22 GB
- SHA256:
- aa19d9e4346a332e1af644a972654326b75811bcf3226e7528aa636fc8ce30af
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