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:
- 6ec8509d06ebe0abdb9ea4b29f8061c0aa5654f37fd1dc39f05feb60f3026d67
- Size of remote file:
- 536 MB
- SHA256:
- db2c2f78acbd317d8ae7ef54584a45cff91e0648759cfe21b9795f2a8dc7575d
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