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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload README.md with huggingface_hub
Browse files
README.md
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: fator-fallacy-detector
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results: []
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- generated_from_trainer
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metrics:
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- accuracy
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pipeline_tag: text-classification
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model-index:
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- name: fator-fallacy-detector
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results: []
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