Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_098 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_098 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_098")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_098") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_098", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ea5824f7fb51b14ddd22d75b3809b5d7a19bd93ff7685a6090991822b3519a8
- Size of remote file:
- 5.78 kB
- SHA256:
- 27899dec91acae6eeb27f442997172ab084544a4adfb4e9b883327e641ff7f1f
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