Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
whisper
Generated from Trainer
PolyAI/minds14
Instructions to use eeizenman/whisper-tiny-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eeizenman/whisper-tiny-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="eeizenman/whisper-tiny-en")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("eeizenman/whisper-tiny-en") model = AutoModelForSpeechSeq2Seq.from_pretrained("eeizenman/whisper-tiny-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from eeizenman/whisper-tiny-en: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/eeizenman/whisper-tiny-en/resolve/main/training_args.bin
- Command line
-
hf download hf://eeizenman/whisper-tiny-en/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/eeizenman/whisper-tiny-en/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- e4d157f62d410b3ec54b64c05094b385d22a6b08344e4004ddc27798b229972b
- Size of remote file:
- 5.5 kB
- SHA256:
- 2e3efd9de62825047a3272d7afe500c29aaeb0603ea150c57d676460d7d1bd82
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