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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2253c4d97aa095d5cccf1cfa8b8b8aad0ce66328ee7b1f82a4f3c6cabb6b463f
- Size of remote file:
- 268 MB
- SHA256:
- ad19f503e332895161345395abdfb0e8c7e775a3259809d855c88f173259c3a6
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