Instructions to use namkyeong/test3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use namkyeong/test3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="namkyeong/test3")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("namkyeong/test3") model = AutoModelForCTC.from_pretrained("namkyeong/test3", 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:dc31e1be7859b1360ea86a8b290a83e2f0cdfb893bc08f296b6c27d29e07c77e
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size 1262922640
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