Instructions to use DeepLoading/slang-stt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DeepLoading/slang-stt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="DeepLoading/slang-stt")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("DeepLoading/slang-stt") model = AutoModelForCTC.from_pretrained("DeepLoading/slang-stt") - 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 sha256:5400422ac9cfbf66fc9ec8415a10c4b84b63ce0ad771b40187a3a8392af2cd9e
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size 3850690460
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