Instructions to use AnonymousCS/populism_classifier_149 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_149 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_149")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_149") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_149", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8559f0f6cdd9385f0ccfc084e8cbc1f7fc26cf141c1e08b3f9dd02d3c672f8d4
- Size of remote file:
- 5.43 kB
- SHA256:
- 19b5673acb149febaa119b02e6cbb70389361f3370db8469484db7c3e5287140
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