Instructions to use RunsOnBacon/distilbert-intent-prompt-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RunsOnBacon/distilbert-intent-prompt-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="RunsOnBacon/distilbert-intent-prompt-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("RunsOnBacon/distilbert-intent-prompt-classifier") model = AutoModelForSequenceClassification.from_pretrained("RunsOnBacon/distilbert-intent-prompt-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add tokenizer files
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Fine-tuned DistilBERT for 6-class intent classification (LiterAIcy V5.13)
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initial commit
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