Instructions to use thehyperpineapple/DistillBERT-QSC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thehyperpineapple/DistillBERT-QSC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="thehyperpineapple/DistillBERT-QSC")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("thehyperpineapple/DistillBERT-QSC") model = AutoModelForSequenceClassification.from_pretrained("thehyperpineapple/DistillBERT-QSC", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0aa45fa39e56de42c7312d949b06cad740b9c836e614026b5d638d8b33f51f2b
- Size of remote file:
- 5.05 kB
- SHA256:
- a34547e2876c2bf618c3962083728f42ff9021b822691d790ca64f212cfe5968
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