Instructions to use IDA-SERICS/Persuasive_Prompt_Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IDA-SERICS/Persuasive_Prompt_Detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="IDA-SERICS/Persuasive_Prompt_Detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IDA-SERICS/Persuasive_Prompt_Detection") model = AutoModelForSequenceClassification.from_pretrained("IDA-SERICS/Persuasive_Prompt_Detection") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("IDA-SERICS/Persuasive_Prompt_Detection")
model = AutoModelForSequenceClassification.from_pretrained("IDA-SERICS/Persuasive_Prompt_Detection")Quick Links
Here the link to the paper: https://link.springer.com/chapter/10.1007/978-3-031-85240-4_14
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="IDA-SERICS/Persuasive_Prompt_Detection")