Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use FareehaAly/fator-fallacy-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FareehaAly/fator-fallacy-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="FareehaAly/fator-fallacy-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("FareehaAly/fator-fallacy-detector") model = AutoModelForSequenceClassification.from_pretrained("FareehaAly/fator-fallacy-detector") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 317cbc489f3300928c4407a8eae1c77918a90f5d75bd508b4ea4732119b03dd1
- Size of remote file:
- 5.2 kB
- SHA256:
- 0bfa137f4980b3569eac94b27d24c3ab4155fc85f9679c3149942bfae0764900
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