Instructions to use ChangeIsKey/change-type-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ChangeIsKey/change-type-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ChangeIsKey/change-type-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ChangeIsKey/change-type-classifier") model = AutoModelForSequenceClassification.from_pretrained("ChangeIsKey/change-type-classifier") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
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## Performance
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In the following table, we provide various pre-trained Cross-Encoders together with their performance on the
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## Performance
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In the following table, we provide various pre-trained Cross-Encoders together with their performance on the
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widget:
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- text: "drawing of tintin in a shop"
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output:
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url: "https://github.com/ChangeIsKey/change-type-classification/blob/main/lsc_ctd_benchmark_snippet_table.png"
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