Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_115 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_115 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_115")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_115") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_115", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 60cfbab45c1419ed5f9b2185ae4249a3a699f5efc8a226c8321e4a90639a09aa
- Size of remote file:
- 5.78 kB
- SHA256:
- 9632fbe2638cbd21ed8f0a84a7a9e7ebeb0757d432addf330191e6d8f2936e38
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