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 /May11_10-19-24_LAPTOP-BLDCKVNC /events.out.tfevents.1715397565.LAPTOP-BLDCKVNC.13100.0
- Xet hash:
- 7388ba1d506bdfa84835339c6a27605cd8d70eab831b99131bf49bcf6b33b51b
- Size of remote file:
- 15.2 kB
- SHA256:
- d34b482a1a616f1d189e9795951f7e05d9768f0f8748afe75fc6c98a9dfedac0
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