Text Ranking
Transformers
Safetensors
multilingual
t5gemma2
text2text-generation
reranker
encoder-decoder
FBNL
Retrieval
RAG
Instructions to use KaLM-Embedding/KaLM-Reranker-V1-Small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KaLM-Embedding/KaLM-Reranker-V1-Small with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("KaLM-Embedding/KaLM-Reranker-V1-Small") model = AutoModelForMultimodalLM.from_pretrained("KaLM-Embedding/KaLM-Reranker-V1-Small") - Notebooks
- Google Colab
- Kaggle
| { | |
| "bos_token_id": 2, | |
| "cache_implementation": "hybrid", | |
| "do_sample": true, | |
| "eos_token_id": 1, | |
| "pad_token_id": 0, | |
| "top_k": 64, | |
| "top_p": 0.95, | |
| "transformers_version": "5.3.0" | |
| } | |