Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_188 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_188 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_188")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_188") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_188", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec4ebfd8fedf3fdaaa0078b660166fa0d4e8b04b9e00952a71bbe42afc788dcb
- Size of remote file:
- 1.11 GB
- SHA256:
- b531fc5ac2e3dd5fbab1f6d4d2d91e2296b08286d82ca15d1b43f1711965888c
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