Instructions to use jsun/bert-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jsun/bert-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="jsun/bert-tiny")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("jsun/bert-tiny") model = AutoModel.from_pretrained("jsun/bert-tiny") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 421708a0b43af66d8ef2a9c1198bc2c255f1bd9c341934b5e10a0ccd313507c1
- Size of remote file:
- 17.6 MB
- SHA256:
- 95f24b75f5dbde422df1bb9fe316b8e281efaafef4a110225bba3e317ce509c7
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