Instructions to use AnonymousCS/populism_classifier_bsample_395 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_395 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_395")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_395") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_395", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3adec18ac10fcc4f9a37ba8ea166d16c5a1d13b5117aedb9bb7795df4353b0e1
- Size of remote file:
- 2.3 GB
- SHA256:
- 1efd0831ddb72e9a6cc1efa2bd553f4d5faa059be400af0283cc0f7e927637b1
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