Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use underscore2/modernbert_conspiracy_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use underscore2/modernbert_conspiracy_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="underscore2/modernbert_conspiracy_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("underscore2/modernbert_conspiracy_classifier") model = AutoModelForSequenceClassification.from_pretrained("underscore2/modernbert_conspiracy_classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0bb261dddf8ddb841e11b9dce6e63bc10c6c028d2f8d5ec9f17acb94b4885184
- Size of remote file:
- 1.58 GB
- SHA256:
- 860e54b612e8c0b105bb32bd33086b267867a71dfaf7b9523550cf8ddb8aeb37
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