Instructions to use AnonymousCS/populism_classifier_299 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_299 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_299")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_299") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_299", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa064d457886aca77ed7c1f71b578f37612f28afba2255eb87ce77e5a54c96ea
- Size of remote file:
- 5.43 kB
- SHA256:
- 5ec25a50db2f0b86d7939fde4625f6c81f2f192d64d190ac500074b9221c25b3
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