Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model191 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model191 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model191")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model191") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model191", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 75019402506305f62f0772becdf00e9fc97cb30a4f5fea169d87547b82efef84
- Size of remote file:
- 5.37 kB
- SHA256:
- 45e2ec00d908546666fda1231fc657b31748486221d3335e415f27bce0345a16
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