Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_191 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_191 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_191")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_191") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_191", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5f00fbaa06c4eeb89677a179ffd3389424e2a8497106e5b506c728ee6df48810
- Size of remote file:
- 5.43 kB
- SHA256:
- e78da4c933a9c47ee2a9abeb27347c5c7d2cb1d2359a1447885ff536dc046909
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