Instructions to use DAMO-NLP-SG/zero-shot-classify-SSTuning-ALBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DAMO-NLP-SG/zero-shot-classify-SSTuning-ALBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="DAMO-NLP-SG/zero-shot-classify-SSTuning-ALBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DAMO-NLP-SG/zero-shot-classify-SSTuning-ALBERT") model = AutoModelForSequenceClassification.from_pretrained("DAMO-NLP-SG/zero-shot-classify-SSTuning-ALBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4314ed3caf8d7e1a99bdb9591476f419522da0202779a92ee81f814ecee7a74e
- Size of remote file:
- 891 MB
- SHA256:
- 7f52f918909ac29045f3c5f95f7f74b98c9d5c1b2601481d446b06529105219b
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