Automatic Speech Recognition
Transformers
Safetensors
French
whisper
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use bofenghuang/whisper-large-v3-french-distil-dec16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bofenghuang/whisper-large-v3-french-distil-dec16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bofenghuang/whisper-large-v3-french-distil-dec16")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("bofenghuang/whisper-large-v3-french-distil-dec16") model = AutoModelForSpeechSeq2Seq.from_pretrained("bofenghuang/whisper-large-v3-french-distil-dec16") - Notebooks
- Google Colab
- Kaggle
Commit ·
cf5d103
1
Parent(s): 1458fa6
disable specaug
Browse files- config.json +1 -1
config.json
CHANGED
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@@ -2,7 +2,7 @@
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"_name_or_path": "bofenghuang/whisper-large-v3-french-dec16-init",
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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-
"apply_spec_augment":
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"architectures": [
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"WhisperForConditionalGeneration"
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],
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"_name_or_path": "bofenghuang/whisper-large-v3-french-dec16-init",
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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+
"apply_spec_augment": false,
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"architectures": [
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"WhisperForConditionalGeneration"
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],
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