Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_124 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_124 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_124")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_124") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_124", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6be364d3c59b1ccb49f59e1dfccec6ba92ec947d27482623b12a8b81915a8df7
- Size of remote file:
- 5.78 kB
- SHA256:
- 5d7bee1aac7150cfc55603b86b8b62aaf7ac861ae6803c95f947047989bdbfe8
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