Text Generation
PEFT
Safetensors
English
medical
pathology
cancer
oncology
tcga
survival-analysis
clinical-nlp
instruction-tuning
lora
qlora
qwen2.5
unsloth
sft
trl
conversational
Eval Results (legacy)
Instructions to use drkareemkamal/PathQwen2.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use drkareemkamal/PathQwen2.5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-7B-Instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "drkareemkamal/PathQwen2.5") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
File size: 129 Bytes
dc82d6b | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:d086e9b0d7274b08f1008636bd58ef9921fdd2920d6dd14d50d29d9f2f7e40c9
size 5816
|