Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_244 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_244 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_244")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_244") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_244", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb0fbc40d9f03be950dc698f63d96f5368726f42a11ddb4e8018f48834a42462
- Size of remote file:
- 5.43 kB
- SHA256:
- f4086226c70199622dfdf386c9989829fc147dfc5390912886213e3f5d0e970e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.