Instructions to use AnonymousCS/populism_classifier_bsample_413 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_413 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_413")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_413") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_413", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 12d60334294665e674fca1e92e7d623f81d76c1147cbec313e0cd9052ac3205a
- Size of remote file:
- 2.3 GB
- SHA256:
- 0179a59ad568e9eb940aa46c5003648dc9e36d7f9d9c7515460c057e45f6e02b
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