Instructions to use AnonymousCS/populism_classifier_bsample_007 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_007 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_007")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_007") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_007", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba504449b0d9f623befbd3b1a5ef46ec644f04881b73a38864a77b8147c7ef6a
- Size of remote file:
- 5.43 kB
- SHA256:
- 263481a42b0747ff66fc58141ebd7a3c6c89434f1fee7143970561fa3ee8a2ef
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