Instructions to use ybelkada/hubert-tiny-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ybelkada/hubert-tiny-random with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ybelkada/hubert-tiny-random")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("ybelkada/hubert-tiny-random") model = AutoModel.from_pretrained("ybelkada/hubert-tiny-random") - 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 sha256:3e39f32898c23cb6d9ba2b0f55f443b74a4b7f572b2693c58284bc77db17b6cb
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size 23977388
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