Instructions to use AnonymousCS/populism_classifier_415 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_415 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_415")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_415") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_415", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 990d53b4655036c484e0cdb7b26f489f48828d06c4a222b66f7945cd9a28879d
- Size of remote file:
- 5.43 kB
- SHA256:
- d8189286bf27d78a2cb2f5926726b4ab113dff30d6a2dbb163707c0519751eeb
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