Text Classification
setfit
Safetensors
sentence-transformers
German
distilbert
generated_from_setfit_trainer
text-embeddings-inference
Instructions to use mbley/german-webtext-quality-classifier-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use mbley/german-webtext-quality-classifier-small with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("mbley/german-webtext-quality-classifier-small") - sentence-transformers
How to use mbley/german-webtext-quality-classifier-small with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("mbley/german-webtext-quality-classifier-small") 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
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<!-- - **Sentence Transformer:** [Unknown](https://huggingface.co/unknown) -->
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- **Classification head:** a [SetFitHead](huggingface.co/docs/setfit/reference/main#setfit.SetFitHead) instance
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- **Maximum Sequence Length:** 512 tokens
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**Number of Classes:**
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**Language:** German
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<!-- - **Sentence Transformer:** [Unknown](https://huggingface.co/unknown) -->
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- **Classification head:** a [SetFitHead](huggingface.co/docs/setfit/reference/main#setfit.SetFitHead) instance
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- **Maximum Sequence Length:** 512 tokens
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**Number of Classes:** 7
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**Language:** German
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