Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_104 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_104 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_104")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_104") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_104", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 71c60d366bd4704371ba17d70aef601e395d544615e4bcf0e6317d99cda85b57
- Size of remote file:
- 5.43 kB
- SHA256:
- 5f6f92cbf23e9e68811e41d9281a5253b775b9817ef2ed4c9fc4197df711634a
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