Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
German
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use HanCreation/whisper-tiny-german-HanNeurAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HanCreation/whisper-tiny-german-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-HanNeurAI")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("HanCreation/whisper-tiny-german-HanNeurAI") model = AutoModelForSpeechSeq2Seq.from_pretrained("HanCreation/whisper-tiny-german-HanNeurAI", device_map="auto") - Notebooks
- Google Colab
- Kaggle
whisper-tiny-german-HanNeurAI / runs /May10_23-51-37_LAPTOP-BLDCKVNC /events.out.tfevents.1715359922.LAPTOP-BLDCKVNC.17488.0
- Xet hash:
- 91def5494434eb38c18fcfa5c30721d3093c2ea6ad0740f4da956bf89424a9b3
- Size of remote file:
- 6.51 kB
- SHA256:
- 37ac5382ae926792b4948d61eef28f5715cb82c2b197618d5c4ca43932b45d0b
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