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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# Model Card for Model ID
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## Model Details
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### Model Description
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We are thrilled to introduce our graduation project, the
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To develop this model, we first created a custom dataset for training. We adapted the QuAC and OpenOrca datasets to make them suitable for our automated essay grading application.
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# Model Card for Model ID
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fine tuned version of Mistral on Essay-quetions-auto-grading
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### Model Description
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We are thrilled to introduce our graduation project, the EM2 model, designed for automated essay grading in both Arabic and English. 📝✨
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To develop this model, we first created a custom dataset for training. We adapted the QuAC and OpenOrca datasets to make them suitable for our automated essay grading application.
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