Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_125 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_125 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_125")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_125") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_125", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 52c2fbae82c3fbfd3ad2e5d76c255b746196093193d25530850274818e18ef1d
- Size of remote file:
- 5.78 kB
- SHA256:
- 83e9f11e63d22c6e9a526bdb05cd528cbacc2140e3343bf5eb63d845bd441ca4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.