Instructions to use AnonymousCS/populism_classifier_bsample_337 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_337 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_337")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_337") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_337", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 03300384a38dba8d6646f40f04cdd10d9d58cd22f15084c616aec5b2e98c21ac
- Size of remote file:
- 1.33 GB
- SHA256:
- c931dc032e38461d3327cff72acfd37a108734504acd3bdc67cef9dcb5151720
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