Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use tcapelle/fluency-scorer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tcapelle/fluency-scorer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tcapelle/fluency-scorer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tcapelle/fluency-scorer") model = AutoModelForSequenceClassification.from_pretrained("tcapelle/fluency-scorer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc3bd41a14ad95390f82dea3e69d41bc1757af20cc9ff8d6954f8b74a2a36345
- Size of remote file:
- 5.37 kB
- SHA256:
- edcbf4bd4dedbc5f662b83377cc162c244fa7f3be028c9504b5e00278806a86d
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