Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use pedrottic/whisper-tiny-en-us with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pedrottic/whisper-tiny-en-us with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="pedrottic/whisper-tiny-en-us")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("pedrottic/whisper-tiny-en-us") model = AutoModelForSpeechSeq2Seq.from_pretrained("pedrottic/whisper-tiny-en-us", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from pedrottic/whisper-tiny-en-us: direct link, hf CLI and curl.
- Browser
- Download file 3.93 MB
-
https://huggingface.co/pedrottic/whisper-tiny-en-us/resolve/main/tokenizer.json
- Command line
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hf download hf://pedrottic/whisper-tiny-en-us/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/pedrottic/whisper-tiny-en-us/resolve/main/tokenizer.json
3.93 MB
File too large to display, you can check the raw version instead.