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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README.md
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license:
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pipeline_tag: text-classification
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language:
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# Model Card: Fine-Tuned DistilBERT for User Intent Classification
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license: mit
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pipeline_tag: text-classification
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language:
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- text: I ordered from you 2 weeks ago and its stil not here.
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- text: I need to bring in my daughter for a checkup.
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# Model Card: Fine-Tuned DistilBERT for User Intent Classification
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