Instructions to use primeline/whisper-large-v3-turbo-german with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use primeline/whisper-large-v3-turbo-german with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="primeline/whisper-large-v3-turbo-german")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("primeline/whisper-large-v3-turbo-german") model = AutoModelForSpeechSeq2Seq.from_pretrained("primeline/whisper-large-v3-turbo-german", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 100
Browse files
config.json
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"activation_function": "gelu",
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"_name_or_path": "flozi00/whisper-large-v3-turbo-german",
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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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model.safetensors
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runs/Oct03_09-47-53_primeline-ai-worker-01/events.out.tfevents.1727948874.primeline-ai-worker-01.7370.0
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runs/Oct03_12-41-29_primeline-ai-worker-01/events.out.tfevents.1727960370.primeline-ai-worker-01.19162.0
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training_args.bin
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