Instructions to use AnonymousCS/populism_classifier_bsample_390 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_390 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_390")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_390") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_390", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f71659b08bbc00b924ce89d1ce51876fdd001ae9346967f0822f04307bb49481
- Size of remote file:
- 5.43 kB
- SHA256:
- 3072f0399fe27bb0b5791c48c882c879e6c377251460031559ff6f409e15e991
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