Instructions to use Raffix/routing_module_action_question_conversation_move_hack_debertav3_cls 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_cls with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Raffix/routing_module_action_question_conversation_move_hack_debertav3_cls")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Raffix/routing_module_action_question_conversation_move_hack_debertav3_cls") model = AutoModelForSequenceClassification.from_pretrained("Raffix/routing_module_action_question_conversation_move_hack_debertav3_cls") - Notebooks
- Google Colab
- Kaggle
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