Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_095 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_095 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_095")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_095") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_095", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 45028ffc0652d974dbc48ff6b8560a7d55f312b88674108027653c99b2e6508d
- Size of remote file:
- 5.78 kB
- SHA256:
- 6a216e6b0f0ad0abfa1fad69c217bddb125b2495283bc0162073494d7cf81ab0
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