Instructions to use zeroshot/sst2-distilbert-sparse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zeroshot/sst2-distilbert-sparse with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="zeroshot/sst2-distilbert-sparse")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("zeroshot/sst2-distilbert-sparse") model = AutoModelForSequenceClassification.from_pretrained("zeroshot/sst2-distilbert-sparse") - Notebooks
- Google Colab
- Kaggle
remove test
Browse files
README.md
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license: apache-2.0
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### DISTILBERT RUNNING ON [DEEPSPARSE](https://github.com/neuralmagic/deepsparse) GOES BRHMMMMMMMM. πππ
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This model is π
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license: apache-2.0
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### DISTILBERT RUNNING ON [DEEPSPARSE](https://github.com/neuralmagic/deepsparse) GOES BRHMMMMMMMM. πππ
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This model is π
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