Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
German
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use HanCreation/whisper-tiny-french-HanNeurAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HanCreation/whisper-tiny-french-HanNeurAI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="HanCreation/whisper-tiny-french-HanNeurAI")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("HanCreation/whisper-tiny-french-HanNeurAI") model = AutoModelForSpeechSeq2Seq.from_pretrained("HanCreation/whisper-tiny-french-HanNeurAI", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44673252d72cd168a6e5761fedc044ff46d233c11d46928b9e5c6ae5ff795692
- Size of remote file:
- 5.18 kB
- SHA256:
- 2452fc78de39f945c96db987eb08bd903d57e68c5e5f075b78c0ce417f680759
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