Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_122 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_122 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_122")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_122") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_122", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0f22b8da4cc09f779c51be3bb6d06f1bc455d218a50721cd91f5b2a6263c7c43
- Size of remote file:
- 2.24 GB
- SHA256:
- 4f32c1c186c5c5633747d5bc2fea6d17ee32f0f876e4d8e7eb97593a1bf7e926
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