Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_224 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_224")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_224") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_224", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d31923f093aee9e57df257ed4618a9b1502a6a48e7b7334ddfb8439d89cd3346
- Size of remote file:
- 5.43 kB
- SHA256:
- 4596a5cf6a8bdb03815a956f140f97ba4ae22b9f3b45a909da457d90dc5bb8b6
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