Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_110 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_110 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_110")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_110") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_110", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca6754ae7f52abd66bc4137c7c82fea4ffed394eea92c5c3248820fd1a958299
- Size of remote file:
- 5.43 kB
- SHA256:
- 3faa559b8e14013fc134a1b314ce1ef3508cb80ddb6f41a2992b8f348c7cce77
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