Instructions to use Sayan01/tiny-bert-mrpc-distilled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sayan01/tiny-bert-mrpc-distilled with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sayan01/tiny-bert-mrpc-distilled")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sayan01/tiny-bert-mrpc-distilled") model = AutoModelForSequenceClassification.from_pretrained("Sayan01/tiny-bert-mrpc-distilled") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 28933db4f7bcb41337718aa2c3389380cc262871face7d3c26cbd1834072e94b
- Size of remote file:
- 3.38 kB
- SHA256:
- 16bf04c35c43d1ca562e8ab3a1a8260d4aa27f27f9901cc6da05d32ccab3e34a
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