Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use dv347/deberta-v3-base_smcalflow-classifier_50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dv347/deberta-v3-base_smcalflow-classifier_50 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dv347/deberta-v3-base_smcalflow-classifier_50")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dv347/deberta-v3-base_smcalflow-classifier_50") model = AutoModelForSequenceClassification.from_pretrained("dv347/deberta-v3-base_smcalflow-classifier_50") - Notebooks
- Google Colab
- Kaggle
Ctrl+K