Instructions to use AnonymousCS/populism_classifier_bsample_150 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_150 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_150")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_150") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_150", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0370668115a68af4fd4c7a00133da0623a3f0a01a884e40a5fa3aa58d16f714b
- Size of remote file:
- 5.43 kB
- SHA256:
- f0935dffc262b5c9364a91dbb1d296890e67af5e16b1d10ad2cd749915a8a439
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