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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d988262bcfbe646f40b551fdfd3018ee52962aa9fe6c145da3769d27b3282e6
- Size of remote file:
- 268 MB
- SHA256:
- 0959d60fbfae01711869c8f61a9c0355f3902031f58ac392784b48adbaca46a4
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