Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_207 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_207 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_207")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_207") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_207", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c19d19327a2d8ba895d5df0471cd5660bf77a9d32039661c4d79329334ef7ab9
- Size of remote file:
- 5.43 kB
- SHA256:
- 387b6df1ab48112db6bfc8b4d9d11a94fac481fac104b862adb94d19642800f2
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