Automatic Speech Recognition
Transformers
PyTorch
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use nomad-ai/whisper-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nomad-ai/whisper-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nomad-ai/whisper-tiny")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("nomad-ai/whisper-tiny") model = AutoModelForSpeechSeq2Seq.from_pretrained("nomad-ai/whisper-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c20fa9893b5498291cbb149992affbc4baed6fb1463df8ea98b58da36e4fd57c
- Size of remote file:
- 4.16 kB
- SHA256:
- deb8e9a9654af1a66e726accf2a12226c03d6febf19d4ffdc2d1e35dff3a0eed
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