Instructions to use DAMO-NLP-SG/zero-shot-classify-SSTuning-large 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-large 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-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DAMO-NLP-SG/zero-shot-classify-SSTuning-large") model = AutoModelForSequenceClassification.from_pretrained("DAMO-NLP-SG/zero-shot-classify-SSTuning-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a4269956c61a5ecce0e862594cd5a77adf58b604e630f6da2391d38c6774c9a
- Size of remote file:
- 1.42 GB
- SHA256:
- 9b4396bab35dfe52c4624368c8bac4416c3538c4523e3cd9cd5bbe58e4f6d4ff
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