Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_081 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_081 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_081")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_081") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_081", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c63713afa00a612fe896c0669d4b419ac7886bc96c92e30a5181f63f8609883a
- Size of remote file:
- 1.11 GB
- SHA256:
- 3d87b0407889f796a0f288780b75024d418abb0cf1718940dbecdfd3731176cf
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