Zero-Shot Classification
Transformers
TensorBoard
Safetensors
English
deberta-v2
text-classification
Instructions to use Raffix/routing_module_action_question_conversation_move_hack_debertav3_nli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Raffix/routing_module_action_question_conversation_move_hack_debertav3_nli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="Raffix/routing_module_action_question_conversation_move_hack_debertav3_nli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Raffix/routing_module_action_question_conversation_move_hack_debertav3_nli") model = AutoModelForSequenceClassification.from_pretrained("Raffix/routing_module_action_question_conversation_move_hack_debertav3_nli") - Notebooks
- Google Colab
- Kaggle