Instructions to use Sayan01/tiny-bert-stsb-distilled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sayan01/tiny-bert-stsb-distilled with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sayan01/tiny-bert-stsb-distilled")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sayan01/tiny-bert-stsb-distilled") model = AutoModelForSequenceClassification.from_pretrained("Sayan01/tiny-bert-stsb-distilled") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 19bb58b07c80ec8109df4fe83d55a99b280654dd1f5a9171a675c92a8d6e71e1
- Size of remote file:
- 57.4 MB
- SHA256:
- 3be770808a9590e04c87819e829bcf9ac8d97a1b071186224d516c7a9ff18e93
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