Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use tomerz14/whisper-tiny-en-US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tomerz14/whisper-tiny-en-US with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="tomerz14/whisper-tiny-en-US")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("tomerz14/whisper-tiny-en-US") model = AutoModelForSpeechSeq2Seq.from_pretrained("tomerz14/whisper-tiny-en-US", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from tomerz14/whisper-tiny-en-US: direct link, hf CLI and curl.
- Browser
- Download file 1.04 MB
-
https://huggingface.co/tomerz14/whisper-tiny-en-US/resolve/main/vocab.json
- Command line
-
hf download hf://tomerz14/whisper-tiny-en-US/vocab.json
-
curl -L -o vocab.json https://huggingface.co/tomerz14/whisper-tiny-en-US/resolve/main/vocab.json
1.04 MB
File too large to display, you can check the raw version instead.