inference	datasets	language	library_name	tags
false	medalpaca/medical_meadow_medqa	en	transformers	biology medical QA healthcare

Galen

Galen is fine-tuned from Mistral-7B-Instruct-v0.2, using medical quesion answering dataset

Galen's view about future of medicine and AI:

Get Started

Install "accelerate" to use CUDA GPU

pip install accelerate

from transformers import AutoTokenizer, pipeline

tokenizer = AutoTokenizer.from_pretrained('ahmed/galen')
model_pipeline = pipeline(task="text-generation", model='ahmed/galen', tokenizer=tokenizer, max_length=256, temperature=0.5, top_p=0.6)

result = model_pipeline('What is squamous carcinoma')
#print the generated text
print(result[0]['generated_text'][len(prompt):])