Instructions to use AnonymousCS/populism_classifier_bsample_371 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_371 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_371")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_371") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_371", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a5a514656279f56c8f91fc7b0152d8cd22fc78c7413a1f636fe8ef55dad5d7e
- Size of remote file:
- 5.43 kB
- SHA256:
- 648fa7323a391fc1dd5fdcb1e1a65d1466d9d925e080ad0e7fd5a79fffd1561a
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