Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_206 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_206 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_206")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_206") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_206", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a4ccbe4a70b188ef609b81ca9f9b42cf610fe009fa8194f1342a9bd7302d5f3
- Size of remote file:
- 5.43 kB
- SHA256:
- 31cc06da2a0209146631e3c52cb419ed2bd39a2248c1ab2318d2c86f1b371016
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