Instructions to use AnonymousCS/populism_classifier_bsample_038 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_038 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_038")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_038") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_038", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a4655e1e247f9f5bd84e8e71eb9dcdd642504e509e54ff71aa9385c669c4879
- Size of remote file:
- 5.43 kB
- SHA256:
- 270b0862b243a12c4dc70e54721a01d50f02bc527e165716b68daff7a86ab1d7
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