Instructions to use AnonymousCS/populism_classifier_bsample_307 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_307 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_307")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_307") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_307", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37431ebd525a67b2760805276057a9a1a62c884aefad63bfe9e526f03f9df110
- Size of remote file:
- 433 MB
- SHA256:
- ac52f8c206ea970740bd32faa19af0a159a5ac1019de0b45f1d88a3e947ba69f
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