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
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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oid sha256:ea2cddc8b967e9559ba6be05fe3ef9d93ef15cce1811e3dc71c2fac281ad8fb6
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size 267832564
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