Instructions to use hf-internal-testing/tiny-random-Wav2Vec2ConformerForXVector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-Wav2Vec2ConformerForXVector with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForAudioXVector processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-Wav2Vec2ConformerForXVector") model = AutoModelForAudioXVector.from_pretrained("hf-internal-testing/tiny-random-Wav2Vec2ConformerForXVector") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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 sha256:32ecc15fedc5f69feebb11446fedbdcf8d50e69e66718710499cb85592b22ee6
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size 214352
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