This Model was Trained on Custom Arabic Dataset

How to use the Model

1 Use a pipeline as a high-level helper

from transformers import pipeline

pipe = pipeline("text-generation", model="EngTig/llama-2-7b-Arabic-medical")

2 Load model directly

from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("EngTig/llama-2-7b-Arabic-medical") model = AutoModelForCausalLM.from_pretrained("EngTig/llama-2-7b-Arabic-medical")

Downloads last month: 24

Inference Examples

Text Generation

This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.