Instructions to use valpy/prompt-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use valpy/prompt-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="valpy/prompt-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("valpy/prompt-classification") model = AutoModelForSequenceClassification.from_pretrained("valpy/prompt-classification") - Notebooks
- Google Colab
- Kaggle
The label taxonomy:
categories = [ 'linguistics', 'factual information (general or professional), history or common practices', 'recommendation', 'tips, opinions or advice', 'analysis or decision explanation', 'mathematical reasoning or calculation', 'logical reasoning', 'coding', 'assisting or creative writing', 'roleplay', 'editing or rewriting', 'information extraction or summarization', 'classification', 'multilinguality or translation', 'awareness of ethics and other risks', 'other - please continue to list them as (other: [category name])', ]
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