Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_091 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_091 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_091")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_091") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_091", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 567433fac2974ad5f937a663b44d84c3b4393d43c64bb2baba9613175f751d32
- Size of remote file:
- 1.11 GB
- SHA256:
- 83c8b0107db45a527ac7f6a2aa4dac91735cf845f51cfb4cf04a7bbaa76a59ea
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