Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_083 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_083 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_083")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_083") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_083", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fcd58e6f524c66cb4eb7522eb047c76992edf4d67fa2a1ecd01c09281c7ba201
- Size of remote file:
- 5.43 kB
- SHA256:
- cb0a447f423e619e5a759076421a80b5e9336166d41152e20f5e294a782fb96c
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