Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_099 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_099 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_099")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_099") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_099", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 60bd0405db7339d625f9d79415f9ee3b08f898ee73493efd5872dbd66598a70e
- Size of remote file:
- 5.78 kB
- SHA256:
- 13057abcf02b12ae4abc676382d1fc41756aab05c27e55bfd3688ec4f8ad0585
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