Instructions to use hf-tiny-model-private/tiny-random-WavLMForXVector 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-WavLMForXVector with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForAudioXVector processor = AutoProcessor.from_pretrained("hf-tiny-model-private/tiny-random-WavLMForXVector") model = AutoModelForAudioXVector.from_pretrained("hf-tiny-model-private/tiny-random-WavLMForXVector") - 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 sha256:44d417e21ef49704240fc9f6590fe5a3d5968dd4cf380c9212c183f0fc6d5170
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size 161536
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