Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_089 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_089 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_089")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_089") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_089", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 26678bd8190c8a647d0f498685abbf37eac3b86f988a23ad24bfdc4d6d94c259
- Size of remote file:
- 5.78 kB
- SHA256:
- d5daabdc1b1d91e21b266d5479bc9ddbe7536ec0be112103eb8c48ce91367117
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