Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
German
whisper
Generated from Trainer
Instructions to use Sandiago21/whisper-large-v2-german-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sandiago21/whisper-large-v2-german-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Sandiago21/whisper-large-v2-german-2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Sandiago21/whisper-large-v2-german-2") model = AutoModelForSpeechSeq2Seq.from_pretrained("Sandiago21/whisper-large-v2-german-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- beb09f3ee61555ae29fdc53284782ed68cd9cee0ffa6376d7ab43ea0c22a7868
- Size of remote file:
- 4.16 kB
- SHA256:
- 25daf1b2effb719bad2aca4e19d89d68c2c87d22e25bf7109ec7960542440e7e
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