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--- |
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license: mit |
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language: |
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- ar |
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base_model: |
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- ACE-Step/ACE-Step-v1-3.5B |
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pipeline_tag: text2text-generation |
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library_name: peft |
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tags: |
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- medical |
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- med |
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--- |
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#test this |
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from transformers import AutoTokenizer |
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from peft import PeftModel |
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from transformers import AutoModelForCausalLM |
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from unsloth import FastLanguageModel |
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base_model = FastLanguageModel.from_pretrained("FreedomIntelligence/AceGPT-7B") |
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model = PeftModel.from_pretrained(base_model, "hamywaleed/tabib_beetlware_v1") |
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tokenizer = AutoTokenizer.from_pretrained("FreedomIntelligence/AceGPT-7B") |