Feature Extraction
Transformers
Safetensors
PyTorch
English
gemma3_text
sentence-similarity
search
retrieval
ranking
embeddings
semantic-search
bi-encoder
rag
text-embeddings-inference
Instructions to use GorankLabs/Rank-Embed-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GorankLabs/Rank-Embed-1B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="GorankLabs/Rank-Embed-1B")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("GorankLabs/Rank-Embed-1B") model = AutoModel.from_pretrained("GorankLabs/Rank-Embed-1B") - Notebooks
- Google Colab
- Kaggle
Ctrl+K