Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_124 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_124 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_124")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_124") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_124", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 475c371714c6a6ca3891dba2f1936c64d7c80d1ee640250b9c7f9c5bebf11b26
- Size of remote file:
- 2.24 GB
- SHA256:
- cc3203d26390f5629564ab758a392dfd04d8768b1515de04d578ea1ff4a23cd9
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