Feature Extraction
PEFT
Safetensors
English
medical
clinical
biomedical
retrieval
embeddings
sentence-similarity
dense-retriever
llm2vec
lora
from-scratch
qwen3
KOS-V5
university-of-kentucky
university-of-louisville
ccts
Instructions to use Kentucky-Open-Science/KOS-V5-Retriever with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Kentucky-Open-Science/KOS-V5-Retriever with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("Kentucky-Open-Science/KOS-V5-Instruct") model = PeftModel.from_pretrained(base_model, "Kentucky-Open-Science/KOS-V5-Retriever") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from Kentucky-Open-Science/KOS-V5-Retriever: direct link, hf CLI and curl.
- Browser
- Download file 289 Bytes
-
https://huggingface.co/Kentucky-Open-Science/KOS-V5-Retriever/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://Kentucky-Open-Science/KOS-V5-Retriever/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/Kentucky-Open-Science/KOS-V5-Retriever/resolve/main/tokenizer_config.json
289 Bytes
| { | |
| "backend": "tokenizers", | |
| "bos_token": null, | |
| "eos_token": "<|im_end|>", | |
| "is_local": true, | |
| "model_max_length": 32768, | |
| "pad_token": "<|im_end|>", | |
| "padding_side": "right", | |
| "split_special_tokens": false, | |
| "tokenizer_class": "TokenizersBackend", | |
| "unk_token": "<|im_end|>" | |
| } | |