Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_217 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_217 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_217")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_217") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_217", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5eb5a346be3bf185d42b5f7cc5222f769ce9fc5eb2fe73ec1bd2842e6795f3f6
- Size of remote file:
- 5.43 kB
- SHA256:
- b4e4f513d33aa7fd55ca4c75923f6752c9f6d0c3ce4dfcaca0bf68d9f5c16237
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