Instructions to use q3fer/distilbert-base-fallacy-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use q3fer/distilbert-base-fallacy-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="q3fer/distilbert-base-fallacy-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("q3fer/distilbert-base-fallacy-classification") model = AutoModelForSequenceClassification.from_pretrained("q3fer/distilbert-base-fallacy-classification") - Notebooks
- Google Colab
- Kaggle
Upload Pytorch model
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:b39441e0253c2b78c14dd2e937f6522e5307ec44d75ff6ce1e3ba1e30ada7221
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size 267890989
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