Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
German
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use HanCreation/whisper-tiny-german-V2-HanNeurAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HanCreation/whisper-tiny-german-V2-HanNeurAI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="HanCreation/whisper-tiny-german-V2-HanNeurAI")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("HanCreation/whisper-tiny-german-V2-HanNeurAI") model = AutoModelForSpeechSeq2Seq.from_pretrained("HanCreation/whisper-tiny-german-V2-HanNeurAI") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c565f7b2d0dd90d9f9bec45cb12fdcb2c3d7ddba3fcd6786e8e246b3caf6b8c
- Size of remote file:
- 5.18 kB
- SHA256:
- 8ef10a41d26e793128382512cf68de655b83191cd92a54125de9dcb73c2e0b60
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