Text Classification
setfit
Safetensors
sentence-transformers
mpnet
generated_from_setfit_trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use lucienbaumgartner/moralizedMP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use lucienbaumgartner/moralizedMP with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("lucienbaumgartner/moralizedMP") - sentence-transformers
How to use lucienbaumgartner/moralizedMP with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("lucienbaumgartner/moralizedMP") 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] - Notebooks
- Google Colab
- Kaggle
Add SetFit model
Browse files- README.md +3 -3
- config_setfit.json +2 -2
- model.safetensors +1 -1
- model_head.pkl +1 -1
README.md
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config_setfit.json
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{
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"labels": [
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"Enrichment / reinterpretation",
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"Lack of understanding / clear misunderstanding",
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"Linguistic (in)felicity"
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"normalize_embeddings": false
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"normalize_embeddings": false,
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"labels": [
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"Lack of understanding / clear misunderstanding",
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}
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model.safetensors
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model_head.pkl
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