Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_198 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_198 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_198")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_198") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_198", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 28ce8f4b79e862de46a025c42afa98c2e37ddf234b3d30e39df140a9e8a14adf
- Size of remote file:
- 1.11 GB
- SHA256:
- 2ade6358f41c56bdbf1d92d1918f48519acac723ee648506ef7f7237cf843fd8
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