Text Classification
Transformers
Safetensors
roberta
rotrag
rule-of-thumb
routing-classifier
conversation-safety
text-embeddings-inference
Instructions to use hgLeo12/RoTRAG_roberta_routing_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hgLeo12/RoTRAG_roberta_routing_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hgLeo12/RoTRAG_roberta_routing_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hgLeo12/RoTRAG_roberta_routing_classifier") model = AutoModelForSequenceClassification.from_pretrained("hgLeo12/RoTRAG_roberta_routing_classifier") - Notebooks
- Google Colab
- Kaggle
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