Instructions to use AnonymousCS/populism_classifier_bsample_313 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_313 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_313")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_313") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_313", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c0d821d885dedfb77fc0a4932f81a315e8f5156f1fc85983368532b88699ca79
- Size of remote file:
- 5.43 kB
- SHA256:
- 2ff00dead359634cada008b3fe754f76ba0ed8df67d16c169a54074596537ede
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