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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8a3fb1761e646287f3e5de57f887539604bbaf20e1d89585563d22c5e90db7d8
- Size of remote file:
- 5.3 kB
- SHA256:
- 443517f056e7725eb84a7a448009b71b65c6a3dfcc7a1e11207a829069e8dd7f
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