Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_220 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_220 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_220")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_220") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_220", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cff1018b6966add690f531b670bf693c05d1f4373824b2edc9be374e5ecb5370
- Size of remote file:
- 2.24 GB
- SHA256:
- 079a749e6f0dc95f89c4e286056752de77d57b4f78b25e61a916e73a94f81dc5
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