Instructions to use AnonymousCS/populism_classifier_bsample_340 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_340 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_340")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_340") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_340", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 60fa490027c09d49a1afa57fdc66bff7e62ba74a742eef85bcd8d2709d2e1c7a
- Size of remote file:
- 5.43 kB
- SHA256:
- 3f20792edd71d49ebd14668be4e695be5414ac320af47c300f74a49c035cc21d
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