Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_122 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_122 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_122")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_122") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_122", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 39cb0cbfb00220d0f9e2bfe84ff0f17188cca0b73ea7452938cfaa61692b2de6
- Size of remote file:
- 5.43 kB
- SHA256:
- 1fd6322e12dce9a0b0e443c6f253b62aac24099f7b3142d2e520b361eae2fca3
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