Instructions to use principled-intelligence/scope-guard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use principled-intelligence/scope-guard with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="principled-intelligence/scope-guard")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("principled-intelligence/scope-guard") model = AutoModelForSequenceClassification.from_pretrained("principled-intelligence/scope-guard") - Notebooks
- Google Colab
- Kaggle
| library_name: transformers | |
| tags: [] | |
| ## Nothing to see here | |
| This is just an HF Pipeline for the following models: | |
| * https://huggingface.co/principled-intelligence/scope-guard-4B-q-2601 | |
| * https://huggingface.co/principled-intelligence/scope-guard-4B-g-2601 |