Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_111 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_111 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_111")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_111") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_111", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ea44b9344317891b3c110af43265eae6918a76e13e39c41c6a0965531a9f3d7
- Size of remote file:
- 5.43 kB
- SHA256:
- 237bf699b67f696005a3164eaeacc5894e794be690bb8eb7be20b0e325b7e1fd
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