metadata
library_name: transformers
license: apache-2.0
Model Card for BioMistral-MedicalQA-FT
This is a fine-tuned BioMistral model based on the medical reasoning dataset - https://huggingface.co/datasets/mamachang/medical-reasoning
Model Details
This is a fine-tuned BioMistral model based on the medical reasoning dataset - https://huggingface.co/datasets/mamachang/medical-reasoning
💻 Usage
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "Kabster/BioMistral-MedicalQA-FT"
messages = [{"role": "user", "content": "Can bisoprolol cause insomnia?"}]
tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
"text-generation",
model=model,
torch_dtype=torch.float16,
device_map="auto",
)
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.2, top_k=100, top_p=0.95)
print(outputs[0]["generated_text"])