Text Classification
Transformers
Safetensors
English
deberta-v2
intent-classification
healthcare
deberta
clarioscope
Eval Results (legacy)
text-embeddings-inference
Instructions to use raihan-js/clarioscope-intent-deberta-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raihan-js/clarioscope-intent-deberta-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="raihan-js/clarioscope-intent-deberta-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("raihan-js/clarioscope-intent-deberta-v1") model = AutoModelForSequenceClassification.from_pretrained("raihan-js/clarioscope-intent-deberta-v1") - Notebooks
- Google Colab
- Kaggle
Cache-bust the headline chart URL
Browse files
README.md
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| **Per-inference cost** | **$0** self-hosted vs $0.25–$0.76 per 1K for frontier APIs |
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| License | MIT |
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## Why this model exists
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## Why this model exists
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