Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model155 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model155 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model155")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model155") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model155", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7be689fe8f2495a7dc0c0b5acf0a12ea7070a4959b9d0629516d0f51950c0fc4
- Size of remote file:
- 5.37 kB
- SHA256:
- 2e09ce943c0125b42ea979c7b5e4e9dbd82bb01f777d40db5126b313dd3a9814
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