Instructions to use AnonymousCS/populism_classifier_bsample_299 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_299 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_299")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_299") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_299", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 219918e37cd341513b6412a6dd0aaf6928b34a1761c4f13da48ddce27cf8b91e
- Size of remote file:
- 5.43 kB
- SHA256:
- 362c98c726d324898437a05c5ac8ec6748f69f0411a431b6864b1fdb0e6d74ad
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