Text Classification
Transformers
Safetensors
English
deberta-v2
deberta
it-support
ticket-classification
text-embeddings-inference
Instructions to use Pulastya0/Deberta-V5-BEST-Employee-Final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pulastya0/Deberta-V5-BEST-Employee-Final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Pulastya0/Deberta-V5-BEST-Employee-Final")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Pulastya0/Deberta-V5-BEST-Employee-Final") model = AutoModelForSequenceClassification.from_pretrained("Pulastya0/Deberta-V5-BEST-Employee-Final") - Notebooks
- Google Colab
- Kaggle
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