Model: oewis16/mistral-exam-generator Source: Original Platform
license, language, base_model, pipeline_tag, tags
| license | language | base_model | pipeline_tag | tags | |||||
|---|---|---|---|---|---|---|---|---|---|
| apache-2.0 |
|
mistralai/Mistral-7B-v0.1 | text-generation |
|
Mistral Exam Generator (كويز جينيريتور)
This model is a fine-tuned version of Mistral, specifically optimized for generating quizzes, exams, and educational questions based on given prompts or contexts.
Model Description
- Task: Text Generation / Question Generation (توليد أسئلة واختبارات)
- Languages Supported: Arabic and English
- Intended Use: Educational applications, teachers' assistance, and automatic quiz generation.
How to use (كيفية الاستخدام برمجياً)
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
model_id = "oewis16/mistral-exam-generator"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
model_id,
torch_dtype=torch.float16,
device_map="auto"
)
prompt = "اكتب سؤال اختيار من متعدد عن الذكاء الاصطناعي مع الإجابات:"
inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
outputs = model.generate(**inputs, max_new_tokens=150)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
Description
Languages
Jinja
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