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")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("ybelkada/hubert-tiny-random") model = AutoModel.from_pretrained("ybelkada/hubert-tiny-random", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ybelkada/hubert-tiny-random: direct link, hf CLI and curl.
- Browser
- Download file 24 MB
-
https://huggingface.co/ybelkada/hubert-tiny-random/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ybelkada/hubert-tiny-random/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ybelkada/hubert-tiny-random/resolve/main/pytorch_model.bin
24 MB
- Xet hash:
- b7040ea17a6b436b769d34b1d9fde3700316736097ffd609c86f23bbb06129a4
- Size of remote file:
- 24 MB
- SHA256:
- c0b739778b50db2e96d37dc8858f2c03a468d862e045671a99b0c28257c331af
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