Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model178 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model178 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model178")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model178") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model178", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d3ad4ae170234ae83da1052bd64c1020c87eda73e7b34e8e642c969173fd330
- Size of remote file:
- 5.37 kB
- SHA256:
- 9b03f7a7343b05af1f88f181d0c2db1de90c49632a2aba49fe37395dcb790a0f
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