Text Classification
Transformers
Safetensors
English
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use lucas-lage/ReSB2-Cross-Encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lucas-lage/ReSB2-Cross-Encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lucas-lage/ReSB2-Cross-Encoder")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lucas-lage/ReSB2-Cross-Encoder") model = AutoModelForSequenceClassification.from_pretrained("lucas-lage/ReSB2-Cross-Encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
8678761 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:a372bdc5505e679502b4ff864e9b4df498cc6494cd2c582ddd7674453941890a
size 34363455
|