Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_116 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_116 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_116")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_116") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_116", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2cd8bbf588c258d7dc6e5859a22f12d54402fe01618ee3b65801e148e95bcf5b
- Size of remote file:
- 5.78 kB
- SHA256:
- 6c6ad28ae1233f2bc64e44a799c11e982f4a5a652c39a5a82af8b105ec1eb229
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