Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use underscore2/modernbert_agree_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use underscore2/modernbert_agree_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="underscore2/modernbert_agree_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("underscore2/modernbert_agree_classifier") model = AutoModelForSequenceClassification.from_pretrained("underscore2/modernbert_agree_classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5524b01d971b72a501a2bcf32d7209f02568af156d475868a061dcfb02972c11
- Size of remote file:
- 5.3 kB
- SHA256:
- 58e58db89359895ac052107c3f315961b71117e0b19a4bc5ddbe44107bdb19e9
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