Instructions to use AnonymousCS/populism_classifier_bsample_036 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_036 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_036")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_036") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_036", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bdea5bd534b8f3459a0eba6b279e5e4230a13106b6ced39ea1f1181c209321b5
- Size of remote file:
- 669 MB
- SHA256:
- 4ab062c6dc5ac1e869835a6b353402841e57a57571ec19cdc64b18a70ff2625e
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