Instructions to use JohanHeinsen/PE_first_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use JohanHeinsen/PE_first_classifier with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("JohanHeinsen/PE_first_classifier") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - setfit
How to use JohanHeinsen/PE_first_classifier with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("JohanHeinsen/PE_first_classifier") - Notebooks
- Google Colab
- Kaggle
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README.md
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# Download from Hub and run inference
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model = SetFitModel.from_pretrained("/private/var/folders/6b/0g07c1bd5nx_dqlnklk5kq5h0000gn/T/tmpgk263u4x/JohanHeinsen/PE_first_classifier")
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# Run inference
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preds = model(["
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```
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Metrics:
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# Download from Hub and run inference
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model = SetFitModel.from_pretrained("/private/var/folders/6b/0g07c1bd5nx_dqlnklk5kq5h0000gn/T/tmpgk263u4x/JohanHeinsen/PE_first_classifier")
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# Run inference
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preds = model(["VI. Andre meddelelser", "1) Reserven er løbet bort."])
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```
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Metrics:
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