Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_197 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_197 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_197")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_197") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_197", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11269ab9a8b1d63444e2ec60a408ada0a2aa2074c993fa30b0a9c3d1fa9c4b3d
- Size of remote file:
- 5.43 kB
- SHA256:
- 2c920954d70bea6d52acb2c6565382fae3e5ee0a28dbc41b6cd8095da1386126
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