Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use SamanthaStorm/fallacy_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SamanthaStorm/fallacy_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SamanthaStorm/fallacy_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SamanthaStorm/fallacy_model") model = AutoModelForSequenceClassification.from_pretrained("SamanthaStorm/fallacy_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c9a016df14dfa49eae57af3d88332c18a2fce9c56566c9a774d9e442c962e59
- Size of remote file:
- 5.3 kB
- SHA256:
- 6182ea9a067d211b6552a5db6b1b05d9af32ed6438e178de23267e0ce565e721
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