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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| license: apache-2.0 | |
| 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])', | |
| ] |