Instructions to use AnonymousCS/populism_classifier_bsample_158 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_158 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_158")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_158") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_158", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e0b22271194ae75d83c27f0f1a802dffe5799517f7e4aca32af12a0768a5ff48
- Size of remote file:
- 669 MB
- SHA256:
- f07bf4ec2e517737ebc8013bf6709502a9a2015d1c054c0998b9266775dd378e
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