Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_083 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_083 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_083")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_083") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_083", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c24e40d800e98560c152ff243b93a0894deb56f424671bbefde5d9085f15b794
- Size of remote file:
- 5.78 kB
- SHA256:
- d58537541672d1101fee3f237e431b63c342b892feb5f5f5ee4190dc57ffa88d
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