Automatic Speech Recognition
Transformers
Safetensors
French
moonshine
audio
speech-to-text
speech
french
asr
Instructions to use Cornebidouil/moonshine-tiny-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cornebidouil/moonshine-tiny-fr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Cornebidouil/moonshine-tiny-fr")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Cornebidouil/moonshine-tiny-fr") model = AutoModelForSpeechSeq2Seq.from_pretrained("Cornebidouil/moonshine-tiny-fr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download preprocessor_config.json from Cornebidouil/moonshine-tiny-fr: direct link, hf CLI and curl.
- Browser
- Download file 267 Bytes
-
https://huggingface.co/Cornebidouil/moonshine-tiny-fr/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://Cornebidouil/moonshine-tiny-fr/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/Cornebidouil/moonshine-tiny-fr/resolve/main/preprocessor_config.json
267 Bytes
| { | |
| "do_normalize": false, | |
| "feature_extractor_type": "Wav2Vec2FeatureExtractor", | |
| "feature_size": 1, | |
| "padding_side": "right", | |
| "padding_value": 0.0, | |
| "processor_class": "Wav2Vec2Processor", | |
| "return_attention_mask": true, | |
| "sampling_rate": 16000 | |
| } | |