Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
speech-encoder-decoder
Generated from Trainer
Instructions to use nacielo/hubert2BertMusicTest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nacielo/hubert2BertMusicTest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nacielo/hubert2BertMusicTest")# Load model directly from transformers import AutoTokenizer, AutoModelForSpeechSeq2Seq tokenizer = AutoTokenizer.from_pretrained("nacielo/hubert2BertMusicTest") model = AutoModelForSpeechSeq2Seq.from_pretrained("nacielo/hubert2BertMusicTest") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:421d9f76ede5528004cf6770bd691485794b499f489f5fccab87c8ef4b5d33b7
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size 761947128
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