Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_229 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_229 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_229")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_229") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_229", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 63cdf9be0cde538ded9f46ec74f77cde84e26ac141747e55d29352c639449b48
- Size of remote file:
- 5.43 kB
- SHA256:
- f72a7bcf9ff1f80830e2dba6a9a14c203f55aef53540f2d0e60786619adc287e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.