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Intent NER Model

This model is fine-tuned for Named Entity Recognition (NER) specifically for intent detection.

Model Details

  • Model Type: xlm-roberta
  • Number of Labels: 6
  • Labels: ['O', 'derogation', 'animosity', 'threatening', 'hatecrime', 'comparison']

Usage

from transformers import AutoModelForTokenClassification, AutoTokenizer

model = AutoModelForTokenClassification.from_pretrained("afcarvallo/roberta_intent_type_ner_model_ihc")
tokenizer = AutoTokenizer.from_pretrained("afcarvallo/roberta_intent_type_ner_model_ihc")
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6
Safetensors
Model size
559M params
Tensor type
F32
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Inference API
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