Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model009 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model009 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model009")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model009") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model009", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5fa25fe8d74b60003363cb55a5cb0c9f016bd4abe83254f6f1679d8ca6270ce1
- Size of remote file:
- 5.37 kB
- SHA256:
- ccd87c04f60da66d52406e351ef1600d03689722a7afb3177585723d96d85c46
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