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:
- 553d3494b48579011a25120835998948d34164b38b852af5b1509b840ef0c1f6
- Size of remote file:
- 669 MB
- SHA256:
- 42b1440249d859f94caed2f13c2ebde0f2bd0ebd7b12ba5f6ef200ca7e729e9b
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