ruslanmv commited on
Commit
e802041
1 Parent(s): 31a5080

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +3 -3
app.py CHANGED
@@ -6,11 +6,11 @@ import os
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  IS_SPACES_ZERO = os.environ.get("SPACES_ZERO_GPU", "0") == "1"
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  IS_SPACE = os.environ.get("SPACE_ID", None) is not None
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- #device = "cuda" if torch.cuda.is_available() else "cpu"
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  #device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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  #dtype = torch.float16
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  LOW_MEMORY = os.getenv("LOW_MEMORY", "0") == "1"
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- #print(f"Using device: {device}")
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  #print(f"Using dtype: {dtype}")
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  print(f"low memory: {LOW_MEMORY}")
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@@ -18,7 +18,7 @@ device = "cuda"
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  model_name = "ruslanmv/Medical-Llama3-8B"
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  # Move model and tokenizer to the CUDA device
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  model = AutoModelForCausalLM.from_pretrained(model_name).to(device)
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- tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True).to(device)
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  tokenizer.pad_token = tokenizer.eos_token
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  @spaces.GPU
 
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  IS_SPACES_ZERO = os.environ.get("SPACES_ZERO_GPU", "0") == "1"
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  IS_SPACE = os.environ.get("SPACE_ID", None) is not None
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+ device = "cuda" if torch.cuda.is_available() else "cpu"
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  #device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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  #dtype = torch.float16
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  LOW_MEMORY = os.getenv("LOW_MEMORY", "0") == "1"
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+ print(f"Using device: {device}")
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  #print(f"Using dtype: {dtype}")
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  print(f"low memory: {LOW_MEMORY}")
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  model_name = "ruslanmv/Medical-Llama3-8B"
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  # Move model and tokenizer to the CUDA device
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  model = AutoModelForCausalLM.from_pretrained(model_name).to(device)
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+ tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
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  tokenizer.pad_token = tokenizer.eos_token
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  @spaces.GPU