Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use underscore2/modernbert_large_slop_classifier_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use underscore2/modernbert_large_slop_classifier_v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="underscore2/modernbert_large_slop_classifier_v3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("underscore2/modernbert_large_slop_classifier_v3") model = AutoModelForSequenceClassification.from_pretrained("underscore2/modernbert_large_slop_classifier_v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c73b4add936d56b32c214ac79a63324cfedd3dea9104ca6fad4c59c8e6f2f649
- Size of remote file:
- 5.3 kB
- SHA256:
- c9a6cf9b2ebdb7cfcb59bf3ddd07bb890926325f61b03e7df0786021dfdc941e
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