Instructions to use Sayan01/tiny-bert-rte-distilled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sayan01/tiny-bert-rte-distilled with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sayan01/tiny-bert-rte-distilled")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sayan01/tiny-bert-rte-distilled") model = AutoModelForSequenceClassification.from_pretrained("Sayan01/tiny-bert-rte-distilled") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d185689a307883e7f5da604a7325affd3c8bcf5daa07cdbbc97287e803ae679
- Size of remote file:
- 3.38 kB
- SHA256:
- 1100f9314843f088aba92a8b83b2ba8b6c20f4dd4ba93a9fb01515fb1f575a87
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