Instructions to use AnonymousCS/populism_classifier_bsample_410 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_410 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_410")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_410") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_410", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3e434b81ce4595498652783442d6615d6201f3df79d13eef8d12627a40b8bf83
- Size of remote file:
- 5.43 kB
- SHA256:
- 9a12892256696e539bdf0f64c57c8489ef1b395ffd11e4bb5fac86c6c666dd63
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