Instructions to use Wataru/sentence-roberta-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Wataru/sentence-roberta-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Wataru/sentence-roberta-tiny")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Wataru/sentence-roberta-tiny", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 455ab814e6f6e3c96fd31d72bc4afd978eb4be68c05a1d6c2ed20c06ca435924
- Size of remote file:
- 1.94 MB
- SHA256:
- 394b0bd856a62d40ca3bd0351e82a6238f1204f9ae9710f8ec83847349d8f244
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