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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af1adfb1ae2a4731007f3752ef7a11c3bf9f8c1963e359d09367a0b282da02fe
- Size of remote file:
- 439 MB
- SHA256:
- 134264090d51b53b258222bd369c0589a146362dc8f5e23bbfa1ee2153d9acd9
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