Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use s-xiao/whisper-tiny-PolyAI-minds14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use s-xiao/whisper-tiny-PolyAI-minds14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="s-xiao/whisper-tiny-PolyAI-minds14")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("s-xiao/whisper-tiny-PolyAI-minds14") model = AutoModelForSpeechSeq2Seq.from_pretrained("s-xiao/whisper-tiny-PolyAI-minds14", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5112d8ebf7c3f971cea52303f4e899142bd02733c1b4338f4ce0159b25b1fb3e
- Size of remote file:
- 4.28 kB
- SHA256:
- e100d0bcda18dee7f856bf4a12e17717d14b6a56b4506ebf9c562f141276891b
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