Instructions to use hf-tiny-model-private/tiny-random-UniSpeechSatForCTC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-UniSpeechSatForCTC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hf-tiny-model-private/tiny-random-UniSpeechSatForCTC")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("hf-tiny-model-private/tiny-random-UniSpeechSatForCTC") model = AutoModelForCTC.from_pretrained("hf-tiny-model-private/tiny-random-UniSpeechSatForCTC") - 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 sha256:52a21d3b1c665035a9a72555eedb1b0b138b935bce7a217209ef6b6f8f928070
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size 118488
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