Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Sos Kundi
wav2vec2
sil-ai/bloom-speech
Generated from Trainer
Eval Results (legacy)
Instructions to use sil-ai/wav2vec2-bloom-speech-sdk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sil-ai/wav2vec2-bloom-speech-sdk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sil-ai/wav2vec2-bloom-speech-sdk")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("sil-ai/wav2vec2-bloom-speech-sdk") model = AutoModelForCTC.from_pretrained("sil-ai/wav2vec2-bloom-speech-sdk") - Notebooks
- Google Colab
- Kaggle
License link is dead
#1
by Lechasseur - opened
@Lechasseur Thanks for reporting. It goes down from time to time as HuggingFace makes changes. It's back up now. The license files are also available via the "Files" link from the app page if you need to refer to them and the page is down.
jnemecek changed discussion status to closed