Text Classification
Transformers
Safetensors
English
distilbert
finance
customer_support
intent
intent_detection
text-embeddings-inference
Instructions to use mr-checker/fin-customer-support-intent-distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mr-checker/fin-customer-support-intent-distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mr-checker/fin-customer-support-intent-distilbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mr-checker/fin-customer-support-intent-distilbert") model = AutoModelForSequenceClassification.from_pretrained("mr-checker/fin-customer-support-intent-distilbert") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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classifier = pipeline(
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"text-classification",
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model="
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)
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result = classifier("I lost my debit card")
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classifier = pipeline(
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"text-classification",
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model="mr-checker/fin-customer-support-intent-distilbert"
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)
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result = classifier("I lost my debit card")
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