Instructions to use AnonymousCS/populism_classifier_bsample_338 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_338 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_338")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_338") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_338", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 846bf3da990cebf8f19982178228367e840d2136aecad094fd2a1b33d5d1107d
- Size of remote file:
- 5.43 kB
- SHA256:
- 73bc1923e074307ed5ed8b5d2eaf28fedb9afe0b7da9c0a91b96ddce42526925
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