Instructions to use AnonymousCS/populism_classifier_bsample_328 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_328 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_328")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_328") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_328", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 51e77f98513d9356005860c9882e533c74276fdd455c0cad0358591b88fcd726
- Size of remote file:
- 1.33 GB
- SHA256:
- 55129dd48e7a278f19d352b38d27683e019edd2a54ece17271e3a007a0051a6f
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