Instructions to use StanfordSCALE/relationship_classifier_multi_retrained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StanfordSCALE/relationship_classifier_multi_retrained with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="StanfordSCALE/relationship_classifier_multi_retrained")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("StanfordSCALE/relationship_classifier_multi_retrained") model = AutoModelForSequenceClassification.from_pretrained("StanfordSCALE/relationship_classifier_multi_retrained") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6cea7e0d237a7eb48b6b76dfe44fb378afd512d34a6dcd0e56a918e32957eb6e
- Size of remote file:
- 1.42 GB
- SHA256:
- 826889f5b9788ef40640398d90b99bd212bad175003240453b96a938f4e194d9
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