Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model249 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model249 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model249")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model249") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model249", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24aafec0722feffdc05536e95937f76c70559c76d7c77799204fffa4968b192a
- Size of remote file:
- 5.37 kB
- SHA256:
- 77ec0796bf791066098f7ccf6a17e16b21647d8b6d9baa859b1ea92ffe9b2dcd
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