Instructions to use voidful/hubert-tiny-unit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use voidful/hubert-tiny-unit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="voidful/hubert-tiny-unit")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("voidful/hubert-tiny-unit") model = AutoModelForCTC.from_pretrained("voidful/hubert-tiny-unit") - Notebooks
- Google Colab
- Kaggle
Commit ·
8e77974
1
Parent(s): 8e8967d
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (82cce3da1a4e054712af5688e6225953b772e61d)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:cfd9c83a5f3fcfcfc4fd74377c98b5713c7c3a94703634d8b7728b8974d43aa1
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size 67261238
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