Instructions to use phatjk/wav2vec2-vi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phatjk/wav2vec2-vi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="phatjk/wav2vec2-vi")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("phatjk/wav2vec2-vi") model = AutoModelForCTC.from_pretrained("phatjk/wav2vec2-vi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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 sha256:8dd896782dcc9e0771693e041c05c3137fc3bb01286790aaeb2a929373412e5e
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size 1262213332
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