Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_216 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_216 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_216")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_216") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_216") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a748702b3f06414a63b6b701d058c2c5a8f64dd39cd6ff87377052fdd8e86640
- Size of remote file:
- 2.24 GB
- SHA256:
- a7a05d0a54cd98b7355c0cf2272965b6bf0febb3fee5b52c70724a1abc234475
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