Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_194 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_194 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_194")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_194") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_194", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a47ddd5bca5d49823ec9d9f279f627f9bda25af3b993e8bd6e8c565730e07ef
- Size of remote file:
- 5.43 kB
- SHA256:
- e02d56cafaead9c64209930dfbc9fbe607ceeca81682860a01676ce63b399e8b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.