Instructions to use AnonymousCS/populism_classifier_bsample_048 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_048 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_048")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_048") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_048", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 241027c242a72855bde583d332078136d9c20640c8c44d53fd8f45b0362c2165
- Size of remote file:
- 5.43 kB
- SHA256:
- 23f41d12bbb9996877e4652f5feaa1214bc2910a68cf2b39c45202896e5d1e25
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