Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_100 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_100")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_100") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_100", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1aafdae4f5f02b97bd3466b659f6fbed5395ac05e41254e336a80494643a5124
- Size of remote file:
- 5.43 kB
- SHA256:
- 6d1654566091b08bc362f4dab8e0b67c750a2544ec09051b97d140ba63c1d5de
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