Instructions to use AnonymousCS/populism_classifier_333 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_333 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_333")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_333") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_333", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d37cda215558f44604fa79291b27f0884360810113db1bb9739ffead8cc7ddc2
- Size of remote file:
- 5.43 kB
- SHA256:
- 9b07ff4f8a990bc63e9868b75ac4884f978af14b09d11b8fb39a9ae597bb7b4c
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