Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use underscore2/modernbert_base_slop_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use underscore2/modernbert_base_slop_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="underscore2/modernbert_base_slop_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("underscore2/modernbert_base_slop_classifier") model = AutoModelForSequenceClassification.from_pretrained("underscore2/modernbert_base_slop_classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f5e07428cb4938c1036deae4fed9af52c1581021a2c40cf1e754dc98bfe168ff
- Size of remote file:
- 598 MB
- SHA256:
- 54980b5fbdbc2807c1e2982e7bdd5e9e880178885968cd000a1b819db67ddd5d
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