Instructions to use Sayan01/tiny-bert-qnli128-distilled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sayan01/tiny-bert-qnli128-distilled with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sayan01/tiny-bert-qnli128-distilled")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sayan01/tiny-bert-qnli128-distilled") model = AutoModelForSequenceClassification.from_pretrained("Sayan01/tiny-bert-qnli128-distilled", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e172cb333d45d6dc0e7c6bc5395bfaaaabcd7249816943be26bdab1dfdf7b56
- Size of remote file:
- 17.6 MB
- SHA256:
- 5e2e01b184165bc76bc92dd3605d43249927c4d3918325c61ba5f3690fa48356
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