Instructions to use mohamedemam/Em2-Mistral-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mohamedemam/Em2-Mistral-7b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("nfaheem/Marcoroni-7b-DPO-Merge") model = PeftModel.from_pretrained(base_model, "mohamedemam/Em2-Mistral-7b") - Notebooks
- Google Colab
- Kaggle
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README.md
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- **Repository:** https://github.com/mohamed-em2m/
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### Direct Use
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### Explain how it work
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- model take three inputs first context or perfect answer + quetion on context + student answer
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then model output the result
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[More Information Needed]
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### Training Data
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- **mohamedemam/Essay-quetions-auto-grading-arabic**
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- **Repository:** https://github.com/mohamed-em2m/Automatic-Grading-AI
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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### Explain how it work
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- model take three inputs first context or perfect answer + quetion on context + student answer
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then model output the result
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### Training Data
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- **mohamedemam/Essay-quetions-auto-grading-arabic**
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