Instructions to use AnonymousCS/populism_classifier_bsample_397 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_397 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_397")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_397") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_397", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1aef70ca4cbe31fc0a0b5965ab8100191a12868549cb5176b9486ea286c0f5a3
- Size of remote file:
- 5.43 kB
- SHA256:
- 461535ee309babfb69382a3907bbd4592fccec2452554ca9ab8758da1318b53d
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