Question Answering
Transformers
Safetensors
Indonesian
llama
feature-extraction
medical
text-generation-inference
Instructions to use kodetr/stunting-qa-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kodetr/stunting-qa-v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="kodetr/stunting-qa-v3")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kodetr/stunting-qa-v3") model = AutoModel.from_pretrained("kodetr/stunting-qa-v3") - Notebooks
- Google Colab
- Kaggle
Model Description
Konsultasi(Q&A) stunting pada anak
- Developed by: Tanwir
- Language : Indonesia
Evaluation (GLUE)
Use with transformers
Pastikan untuk memperbarui instalasi transformer Anda melalui pip install --upgrade transformer.
import torch
from transformers import pipeline
model_id = "kodetr/stunting-qa-v3"
pipe = pipeline(
"text-generation",
model=model_id,
torch_dtype=torch.bfloat16,
device_map="auto",
)
messages = [
{"role": "system", "content": "Jelaskan definisi 1000 hari pertama kehidupan."},
{"role": "user", "content": "Apa itu 1000 hari pertama kehidupan?"},
]
outputs = pipe(
messages,
max_new_tokens=256,
)
print(outputs[0]["generated_text"][-1])
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Model tree for kodetr/stunting-qa-v3
Base model
meta-llama/Llama-3.2-3B-Instruct