Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use alexgshaw/hyperpartisan-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alexgshaw/hyperpartisan-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="alexgshaw/hyperpartisan-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("alexgshaw/hyperpartisan-classifier") model = AutoModelForSequenceClassification.from_pretrained("alexgshaw/hyperpartisan-classifier") - Notebooks
- Google Colab
- Kaggle
File size: 297 Bytes
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2023-02-23T17:33:40,867009c7-1267-4e03-b4bd-f8f35fd65cfa,codecarbon,73066.10210371017,31.75018428250323,43.01239944958747,United States,USA,utah,N,,
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