Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_240 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_240 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_240")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_240") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_240", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4bf42c0eda8e728cb7d3df14f4114f666420f43e9a0f426f12fb8226c98d5e0d
- Size of remote file:
- 5.43 kB
- SHA256:
- 43f17506151018af6c1842f2b90e47430df8084b0bcb909dc65f1b015ac94e9d
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