# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("valpy/prompt-classification")
model = AutoModelForSequenceClassification.from_pretrained("valpy/prompt-classification")Quick Links
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])', ]
- Downloads last month
- 50
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="valpy/prompt-classification")