Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_231 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_231 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_231")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_231") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_231", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c2a9a6775f46a3e9dff01b947c003249b56dc81345e413b7616a4fa36ca21aa
- Size of remote file:
- 2.24 GB
- SHA256:
- 78cb1ff76c9fc860d822ba551ed5c7124ea1d0b8694cf7644729560d9bfa0687
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