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language: |
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- ar |
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- en |
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metrics: |
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- accuracy |
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pipeline_tag: text-generation |
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--- |
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This Model was Trained on Custom Arabic Dataset |
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## How to use the Model |
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# 1 Use a pipeline as a high-level helper |
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from transformers import pipeline |
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pipe = pipeline("text-generation", model="EngTig/llama-2-7b-Arabic-medical") |
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# 2 Load model directly |
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from transformers import AutoTokenizer, AutoModelForCausalLM |
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tokenizer = AutoTokenizer.from_pretrained("EngTig/llama-2-7b-Arabic-medical") |
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model = AutoModelForCausalLM.from_pretrained("EngTig/llama-2-7b-Arabic-medical") |
