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