metadata

language:
  - ar
  - en
metrics:
  - accuracy
pipeline_tag: text-generation

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")