Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model199 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model199 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model199")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model199") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model199", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 74ddb1f6b783539c431fa345ec093fb8b203414fe02d4001cd27ad9b9641f8b7
- Size of remote file:
- 5.37 kB
- SHA256:
- 525fb0ceaa62af1b6de4bd5715b1bf72b50e98dba36d621729a5d5d153fc24cf
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