Instructions to use AnonymousCS/populism_classifier_bsample_045 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_045 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_045")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_045") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_045") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d6ebfb9b8f5c046a979de3e2ec89a4593b569775ea586ec849860ddb9b76fed
- Size of remote file:
- 669 MB
- SHA256:
- e09058cc2a397fde611ff4e232dac1f033e2ee65f0212c8aee950f410d2f83ce
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