Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_222 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_222 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_222")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_222") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_222", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 747f52ea3b166ee03c55cb681c72d6d7e19b5b13bf0b1572f38c83bd7bf83eb8
- Size of remote file:
- 2.24 GB
- SHA256:
- f326a8da105b6ff36af5c056c86d76ee07171877a5bdb38f654977cc8e7fd008
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