Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model142 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model142 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model142")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model142") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model142", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e1eced9ecc1fe77bda47a31fc5560618b1ad54d2ba3a09b8118c2f54a8ff107
- Size of remote file:
- 5.37 kB
- SHA256:
- b09e94cf7d61db98aa87c341dc46af7ef30e1cb5a88fb097c5afae89b51ab718
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