Text Classification
Transformers
Safetensors
English
distilbert
finance
intent-detection
text-embeddings-inference
Instructions to use ihsankt/financial-intent-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ihsankt/financial-intent-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ihsankt/financial-intent-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ihsankt/financial-intent-model") model = AutoModelForSequenceClassification.from_pretrained("ihsankt/financial-intent-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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pipeline_tag: text-classification
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library_name: transformers
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language: en
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license: apache-2.0
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tags:
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- finance
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- intent-detection
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# Financial Intent Model
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This model classifies banking queries into 21 distinct intents/emotions.
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