Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_128 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_128")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_128") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_128", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8abffdfbd4789bf85ae00ebbcf827a0b9130d95ebc27c90993e24c8ce818a2d2
- Size of remote file:
- 5.43 kB
- SHA256:
- c42bcc8af5e700e1d32d992d6a68559b93921da6a46b37e34053f32f291920e9
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