Instructions to use AnonymousCS/populism_classifier_bsample_165 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_165 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_165")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_165") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_165", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c957665ff52bb4929f3d53df77c4052ab78cfb775f92e22def332a65705a977
- Size of remote file:
- 669 MB
- SHA256:
- 30de89bc1163032269a06c546376a3aaf1e85f616b83f5974265d5d09df33d52
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