Text Classification
Transformers
Safetensors
English
modernbert
router
llm-routing
on-device
text-embeddings-inference
Instructions to use darkolorin/vibe-router-modernbert-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use darkolorin/vibe-router-modernbert-v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="darkolorin/vibe-router-modernbert-v3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("darkolorin/vibe-router-modernbert-v3") model = AutoModelForSequenceClassification.from_pretrained("darkolorin/vibe-router-modernbert-v3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 98680b993ff04b772581ea06715ad4f6db1bd8edfe529740dc3487cf51c00314
- Size of remote file:
- 598 MB
- SHA256:
- 3768cc67513d67466114b42456d0526d55e9a46c6b2ae5fce46936010f16daea
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.