Instructions to use AnonymousCS/populism_classifier_306 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_306 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_306")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_306") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_306", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0af829c35f2118cb78c616db29bd45a8a45625edf087e0beab274d02c680f8b9
- Size of remote file:
- 5.43 kB
- SHA256:
- 1e85fcdc5a5c843294e6d3c09aa5749595ce0c36c6c486e2859283b5a6a7f2e2
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