Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use pfe24/whisper-tiny-dv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pfe24/whisper-tiny-dv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="pfe24/whisper-tiny-dv")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("pfe24/whisper-tiny-dv") model = AutoModelForSpeechSeq2Seq.from_pretrained("pfe24/whisper-tiny-dv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tiny.ipynb from pfe24/whisper-tiny-dv: direct link, hf CLI and curl.
- Browser
- Download file 582 kB
-
https://huggingface.co/pfe24/whisper-tiny-dv/resolve/main/tiny.ipynb
- Command line
-
hf download hf://pfe24/whisper-tiny-dv/tiny.ipynb
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curl -L -o tiny.ipynb https://huggingface.co/pfe24/whisper-tiny-dv/resolve/main/tiny.ipynb
582 kB