Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_201 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_201 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_201", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_201") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_201", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a19bf4486dcbba3e60f521f3fb477b8e8f69107ef3eddf82e91e529bd10702dd
- Size of remote file:
- 1.11 GB
- SHA256:
- 8efe036f309e305cfdcfeb149946ab58f9aabb1ee00e73b0b2fca42cbe272fef
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