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:
- fa2b343742bac9854ce19cba12541d10a6754cdf32c688ea66ba95c4ffc1e5fa
- Size of remote file:
- 5.43 kB
- SHA256:
- bea72adbb22faee81d692ef55d341d8606189690e5f9c4b61f7b39ccbffcf485
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