Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_218 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_218 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_218")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_218") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_218", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 42fe0bae405735373177e94612eb0c492266595ef00eea4bfe6b0ae22842ccc8
- Size of remote file:
- 2.24 GB
- SHA256:
- eaac49244c8e56b9ce159e59a4379849cce4b9b19529a21c303c41d5f4701101
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