Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_096 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_096 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_096")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_096") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_096", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d11ffe9ac21c7d8183ee850d38527b4a916acbdbf088efb99a161a960f9b78d2
- Size of remote file:
- 5.43 kB
- SHA256:
- 9e8464694095c2c16fbeb592dc2f419dd4af3f6e44558e779ce99ece523ce380
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