Instructions to use AnonymousCS/populism_classifier_bsample_023 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_023 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_023")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_023") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_023", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8396c222a4e7be24dd312ecd781cf46257cfede72655efc7b7de1462dc5f26f0
- Size of remote file:
- 5.43 kB
- SHA256:
- 7bfa99bf68a458152e139ecce5bbc5c87ae9dd0fc12d53aa4c2edd8d97a12c78
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