Instructions to use AnonymousCS/populism_classifier_bsample_408 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_408 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_408")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_408") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_408", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b35e9704889fc12a5231b25a85f042209da8e0bd2c39471fc53fee1376c09fe8
- Size of remote file:
- 5.43 kB
- SHA256:
- 5527be216b9a78337d5a9e9001754d5f432185a5df3aa6eb641189d13cfb8c6d
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