Instructions to use AnonymousCS/populism_classifier_bsample_031 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_031 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_031")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_031") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_031", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- faed44dd36522102d51ddbae1d0d4c01e4d00aa02fb6dcb82ae0f99f5cf7aa2d
- Size of remote file:
- 669 MB
- SHA256:
- 83f00701390cf3b64d50f5d019d754b8c1f7b1db80f087feefe87460def4fdd5
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