Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_186 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_186 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_186")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_186") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_186", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7118a9ba8465ead88d52da5fb75a208375ed0a8724020c07ca059a3a4b0d77b4
- Size of remote file:
- 1.11 GB
- SHA256:
- a7b05a736315788a0de9ffc36254960c9e2d580afcd36242c22662139cf3f3bf
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