Instructions to use AnonymousCS/populism_classifier_145 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_145 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_145")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_145") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_145", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32583de5ff90bdf04e655ab8442264495ed0a5742b00b58700c97debbfcbd618
- Size of remote file:
- 5.43 kB
- SHA256:
- fe61b8a307ced6ec8379422fc1e225e9557507f8d062ac5b54f19f026bb3d003
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