Instructions to use AnonymousCS/populism_classifier_bsample_043 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_043 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_043")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_043") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_043", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fbf7f7802405a26974e75fc3df4589426648e3d06d1d6428d4e652d631b53ed4
- Size of remote file:
- 669 MB
- SHA256:
- 87ef39db8316b0ba2991d9b2a797719c9ea9e356b3f8b8214b46d0e0e5d8aeaf
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