Text Ranking
Transformers
Safetensors
multilingual
t5gemma2
text2text-generation
reranker
encoder-decoder
FBNL
Retrieval
RAG
Instructions to use KaLM-Embedding/KaLM-Reranker-V1-Large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KaLM-Embedding/KaLM-Reranker-V1-Large with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("KaLM-Embedding/KaLM-Reranker-V1-Large") model = AutoModelForMultimodalLM.from_pretrained("KaLM-Embedding/KaLM-Reranker-V1-Large") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
42440c6 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:05b52fbc80c52bbb76fbf05e34cd0173fea0b04afdf9305711359f0315a7877d
size 223876
|