Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
ger
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use daniel123321/whisper-small-de-colab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use daniel123321/whisper-small-de-colab with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="daniel123321/whisper-small-de-colab")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("daniel123321/whisper-small-de-colab") model = AutoModelForSpeechSeq2Seq.from_pretrained("daniel123321/whisper-small-de-colab") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 552296887426588290d281abf254b2ef9e6df43f76efb3e6188418a0f768ab30
- Size of remote file:
- 4.86 kB
- SHA256:
- 50b7fee040403c3aa6933a2f42b80f90747d33681d42ae7d168effed22203cc5
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