Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_232 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_232 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_232")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_232") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_232", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 279a63cd436e285b9ff5b7106d06c42b9ceba1f767eafe323ef9e7d60d1abe73
- Size of remote file:
- 5.43 kB
- SHA256:
- a30a761c3dc3704a61efefb9f8ed040b222fde3f4aa84b995ab8098e85a10a79
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