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:
- c4deec842da5b656bc1b244c81a41f00ffcb81dda030a37d8e682df0b9b0fdf4
- Size of remote file:
- 1.58 GB
- SHA256:
- 92732eadea9f4b14c0fb4e9fdb011ed695dc6997e34940e9c4ccfb05fa6a401f
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