Instructions to use AnonymousCS/populism_classifier_bsample_168 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_168 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_168")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_168") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_168", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4185a7fc41cee2345b2e1f81bf272f279b2e6327f89375ef3e6636ba1aa868f6
- Size of remote file:
- 5.43 kB
- SHA256:
- 84d8be60d09c04f35ee4600ed18208a3dcc2d6e4691155f4174dddeea1f6e806
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