Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model348 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model348 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model348")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model348") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model348", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- be734fca7cb083475709d8b72b48b8c45d23c0db7b5ad20f9d46ae7bfef661cd
- Size of remote file:
- 5.3 kB
- SHA256:
- 17460aa9c373cbf7fc0fc4f183de0561aac4c114926b5deab533a36495425218
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