Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_187 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_187 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_187")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_187") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_187", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae5d1febd8da9ee163fe5b76f875178fd10bad7507bf5fc6f005fd8c3aa97cdd
- Size of remote file:
- 1.11 GB
- SHA256:
- 9b6832966874b58d2ba74b83c56efa0d7da2e348eef41204d2e309c82ba9712c
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