Instructions to use AnonymousCS/populism_classifier_bsample_010 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_010 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_010")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_010") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_010", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 226cac788c5e1a0d23a5066cb63f184fa236031e51a755abc2bcab76665a1df6
- Size of remote file:
- 5.43 kB
- SHA256:
- 601d7df9fdfc8ebfbb80a1f4b992d780d25e5785836df1bd4a50b7381167f283
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