Instructions to use AnonymousCS/populism_classifier_bsample_044 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_044 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_044")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_044") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_044", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e90f1a369bc94cf43cbc400490f26953e47f830eb37aa6143a42dc5d65b6dfcb
- Size of remote file:
- 5.43 kB
- SHA256:
- ef308d8a791c9e561ae5cd12b27438d08cc2dcdd6bce7de4a1dead1bcb09c646
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