Instructions to use AnonymousCS/populism_classifier_bsample_164 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_164 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_164")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_164") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_164", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e5f22ee04a038278cd621bc1a7fa5af501a9963d90f5137e6a4ce59664e4154e
- Size of remote file:
- 5.43 kB
- SHA256:
- b103d9d2955791fa0cbe42a6e3f869b62cc7e6adbcfc65b0c641e1b376e63eb5
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