Automatic Speech Recognition
Transformers
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use davidilag/whisper-tiny-no-is with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davidilag/whisper-tiny-no-is with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="davidilag/whisper-tiny-no-is")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("davidilag/whisper-tiny-no-is") model = AutoModelForSpeechSeq2Seq.from_pretrained("davidilag/whisper-tiny-no-is", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f95dc67d2d034ac6a16786a279658a754392fb7c50f7b0d78d1fe25080a5b901
- Size of remote file:
- 5.3 kB
- SHA256:
- 8e5c4390a1d8c65c33df68cff915e3ade8c768e9781875062181e5b7ea3c9860
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