Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use sabya87/whisper-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sabya87/whisper-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sabya87/whisper-tiny")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("sabya87/whisper-tiny") model = AutoModelForSpeechSeq2Seq.from_pretrained("sabya87/whisper-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from sabya87/whisper-tiny: direct link, hf CLI and curl.
- Browser
- Download file 151 MB
-
https://huggingface.co/sabya87/whisper-tiny/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://sabya87/whisper-tiny/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sabya87/whisper-tiny/resolve/main/pytorch_model.bin
151 MB
- Xet hash:
- d7f98f095b05b2b22a6c8ebe5efecb085976d778e7c6b1f92634eefea58c5ac6
- Size of remote file:
- 151 MB
- SHA256:
- d70f2479750790f2d1974b6f0240f6208a1078887bd4d02739356f1b5ce5772b
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