Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_118 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_118 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_118")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_118") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_118", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 18977dcac5132df4c56ddf50b6a69580d71b3d13e560c7e65c2250dd5dc7b30d
- Size of remote file:
- 5.43 kB
- SHA256:
- 8f26a3179f3ac77a880f29c5bdcd31e9e0045992bffe92f6454cf0144f73b05c
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