Text Classification
Transformers
PyTorch
Core ML
Safetensors
English
distilbert
text-embeddings-inference
Instructions to use Falconsai/intent_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Falconsai/intent_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Falconsai/intent_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Falconsai/intent_classification") model = AutoModelForSequenceClassification.from_pretrained("Falconsai/intent_classification") - Notebooks
- Google Colab
- Kaggle
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language:
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widget:
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- text: "
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example_title: Example 1
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- text: "I need to bring in myy daughter for a visit."
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example_title: Example 2
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---
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# Model Card: Fine-Tuned DistilBERT for User Intent Classification
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language:
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- en
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widget:
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- text: "I ordered from you 2 weeks ago and its stil not here."
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example_title: "Example 1"
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- text: "I need to bring in myy daughter for a visit."
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example_title: "Example 2"
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---
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# Model Card: Fine-Tuned DistilBERT for User Intent Classification
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