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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Let's say Hi!
#1
by raihan-js - opened