Automatic Speech Recognition
Transformers
Safetensors
English
whisper
gumbel-beard
children-speech
low-resource
Instructions to use Zilai2999/whisper-small.en-gumbel-beard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zilai2999/whisper-small.en-gumbel-beard with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Zilai2999/whisper-small.en-gumbel-beard")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Zilai2999/whisper-small.en-gumbel-beard") model = AutoModelForSpeechSeq2Seq.from_pretrained("Zilai2999/whisper-small.en-gumbel-beard") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 79a4d3bed7bc7ab5c2a18433bc095dd08f32394372e8c03af113ecda46f2b24d
- Size of remote file:
- 967 MB
- SHA256:
- ecb831db2221adc2bd74ad497e62f159ea9022a76e3aa34ae7a886708b852421
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