Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_255 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_255 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_255")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_255") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_255", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 21f7e6560bc34911f4d7dce7112602f97cf22b46c423d0c9cf545eb85872028c
- Size of remote file:
- 5.43 kB
- SHA256:
- 0fe2407b3ad582109e19072f4cb5e3eb6eeabef8caf52581ab4153582155e5cf
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