Instructions to use AnonymousCS/populism_classifier_bsample_301 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_301 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_301")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_301") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_301", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 41b5a5f526cd5f489e6c26d48e2dbff1d5c39e00b9ae4c8f83822589727ad2bf
- Size of remote file:
- 433 MB
- SHA256:
- b56b7237f2dabae8ba5cd1314ec3f7b7e28b6c7649a4a83416b9ba2ab4034ad4
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