How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="Torando/DoctorGPT")
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Torando/DoctorGPT")
model = AutoModelForCausalLM.from_pretrained("Torando/DoctorGPT", device_map="auto")
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Mistral-7B-Instruct-v0.1 finetune on the medical data from Gathnex

Machine Learning Model for DoctorGPT

UCLL Student Project

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8
Safetensors
Model size
7B params
Tensor type
BF16
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