Instructions to use nguyenvulebinh/wav2vec2-bartpho with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nguyenvulebinh/wav2vec2-bartpho with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nguyenvulebinh/wav2vec2-bartpho")# Load model directly from transformers import AutoTokenizer, AutoModelForSpeechSeq2Seq tokenizer = AutoTokenizer.from_pretrained("nguyenvulebinh/wav2vec2-bartpho") model = AutoModelForSpeechSeq2Seq.from_pretrained("nguyenvulebinh/wav2vec2-bartpho") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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 sha256:6991e2b07559b2aba08d91f544fa824fd19de5d3f136dfd9b596a6ad7f23e015
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size 1822600472
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