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
File size: 289 Bytes
563bcd6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"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|>"
}
|