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_16-56-45_LAPTOP-BLDCKVNC /events.out.tfevents.1715421406.LAPTOP-BLDCKVNC.24248.0
- Xet hash:
- 98ae2444273be083cea06dc88e851e1883d7359fd35502c197448a23dcad7593
- Size of remote file:
- 41.9 kB
- SHA256:
- b0a3fedd9dfd1af38250b7c726869bdefc274334a267dcbcf341cf8ce8254c78
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