Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_241 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_241 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_241")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_241") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_241", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48640d45016fcc61323b6c72b5e1260d51e1b4533a9592ffe60042a1ff8006ae
- Size of remote file:
- 5.43 kB
- SHA256:
- 9722164e30ea056efe1f501e4f9cf89c16de97c498049b1c2c4d30359cc0914c
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