Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_183 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_183 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_183")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_183") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_183", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 49b9b859e983852439953184ee541acd15b94b8eaa94c15afa0c5337a4818dad
- Size of remote file:
- 1.11 GB
- SHA256:
- ee355c3e717cac49748a7d0471a266a19998419ae9f1206a61be34774ae8caad
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