Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_098 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_098 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_098")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_098") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_098", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ecd4cc0e3948fe72e4bde79289c04163da56b1d978192401a93a9678d78ae15
- Size of remote file:
- 1.11 GB
- SHA256:
- 42bc44787de6129071f7482490d5d8dee61f2cc84fe89d9ce6f73cfc95cbc6b7
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