Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_104 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_104 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_104")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_104") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_104", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 059adacaa6a2807c32b992aa947354bfa8e9fd92acc56d11430a977fbfee46c9
- Size of remote file:
- 5.78 kB
- SHA256:
- a246bd9f34d3d120e4962774b31a9c27d4348cddced05bdd49cbe6e1a038310f
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