Instructions to use AnonymousCS/populism_classifier_bsample_339 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_339 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_339")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_339") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_339", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e3f8957e6d08ebe6957c4d66bc9353d0b183ad16b2a73401b3487b0d77269c48
- Size of remote file:
- 438 MB
- SHA256:
- 5e2c05a5e51b27e4e3f60f527ff5f2aff43e64e4113b4d924a21f52fcec59bb1
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