Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_085 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_085 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_085")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_085") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_085", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f3b228d533be21f998b3503f89a2b40b02484bab3e8cc31c701b35cbf1234f12
- Size of remote file:
- 5.43 kB
- SHA256:
- 04885da98caf1e272e5806f563d0cbc24c519747a05a179263a9a1e2a85028ad
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