Instructions to use seanpe200/TruthNN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seanpe200/TruthNN with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="seanpe200/TruthNN")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("seanpe200/TruthNN", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| license: mit | |
| datasets: | |
| - upasanachatterjee/AllSides-random-split | |
| - mediabiasgroup/BABE | |
| language: | |
| - en | |
| metrics: | |
| - mae | |
| base_model: | |
| - google-bert/bert-base-uncased | |
| library_name: transformers | |
| tags: | |
| - text-classification | |
| - political-bias | |
| - news | |
| - pytorch | |
| - bert | |