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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cfdb36e792292ca427fa069ec36933fb9d50c84c8aa2fdb834c32ffd5058806f
- Size of remote file:
- 57.4 MB
- SHA256:
- a88b6ac8522dc6a2a5df3be2e29355667cb9055c7c38895e86f8fe65eb58e1ba
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