Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_099 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_099 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_099")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_099") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_099", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d06ae64b07907724e8bb7e2fbe0099435f6edc3fdd305ff77035542a29952f3e
- Size of remote file:
- 1.11 GB
- SHA256:
- 8773bc3d6836dd562763d6209bd31d96ed6629ebc8aae18caf91496742be15a3
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