Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model205 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model205 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model205")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model205") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model205", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b807a8be21fa720174a00fb9680bb6011e011a6c3fe8271335d246bc4c723c89
- Size of remote file:
- 5.37 kB
- SHA256:
- 9ac0ae80ffc42a6b264e50f34654b91da8e9b22c708ce6c20ac76412581d84ec
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