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SSTalha
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Fashion_PHI_1-5

Text Generation
PEFT
PyTorch
Safetensors
English
mixformer-sequential
nlp
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custom_code
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Update README.md

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@@ -39,7 +39,7 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
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  torch_device = 'cuda' if torch.cuda.is_available() else 'cpu'
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- Model = 'SSTalha/Fashion_Phi-1_5'
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  model = AutoModelForCausalLM.from_pretrained(Model, torch_dtype="auto", trust_remote_code=True).to(torch_device)
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  tokenizer = AutoTokenizer.from_pretrained(Model, trust_remote_code=True)
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  torch_device = 'cuda' if torch.cuda.is_available() else 'cpu'
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+ Model = 'SSTalha/Fashion_PHI_1-5'
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  model = AutoModelForCausalLM.from_pretrained(Model, torch_dtype="auto", trust_remote_code=True).to(torch_device)
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  tokenizer = AutoTokenizer.from_pretrained(Model, trust_remote_code=True)
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