Instructions to use AnonymousCS/populism_classifier_295 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_295 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_295")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_295") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_295", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 39764afa6d0b35490a9bdbe395a41fa9cc20d9af116e31976ffcaa01fd5981d1
- Size of remote file:
- 5.43 kB
- SHA256:
- c8bb57d6491080bdb0871654d8fc924411b681ef742ad58a4c190127238692a0
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