Instructions to use AnonymousCS/populism_classifier_bsample_327 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_327 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_327")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_327") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_327", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ecd972a18ef3f9722d8374612a615ab57363d19fc45b2d2a8d301500952a589f
- Size of remote file:
- 1.33 GB
- SHA256:
- 435db7a90f5eb231b5f63e8244f5aa2dcb3b275e9dfc2f04a1ce987750059fae
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