Instructions to use AnonymousCS/populism_classifier_375 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_375 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_375")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_375") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_375", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 39b2a0531e8e68ce5d32ef043d992464fedeac34eea1a2d461de55ab2acc73b6
- Size of remote file:
- 5.43 kB
- SHA256:
- e7e3198d2059535fdb0f59777151457cb61783d29f390d7cae77d2c8a25a6b73
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