Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_247 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_247 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_247")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_247") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_247", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27268911e3f41aa7e4ddc01859b4c2a5a9019ed2b247f8f6f644eccab4e1ad33
- Size of remote file:
- 5.43 kB
- SHA256:
- f8e2e5890d2522065178314341c5f4d1d840a49c6de881aadf86aff3a8b3aa02
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