Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use underscore2/modernbert_base_slop_classifier_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use underscore2/modernbert_base_slop_classifier_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="underscore2/modernbert_base_slop_classifier_v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("underscore2/modernbert_base_slop_classifier_v2") model = AutoModelForSequenceClassification.from_pretrained("underscore2/modernbert_base_slop_classifier_v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64aac96123789f50a702bd9e7014e4214ff4bb381ffd0ed1e20917c9376daf9e
- Size of remote file:
- 598 MB
- SHA256:
- 93257fa2434472dae42daa025929fdd7e949db8f2a4071629e2be6f349687696
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