Update app.py
Browse filescuda device track
app.py
CHANGED
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@@ -4,6 +4,13 @@ from dotenv import load_dotenv
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import os
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load_dotenv()
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# Définir vos tokens
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HUGGINGFACE_TOKEN =os.getenv("HUGGINGFACE_TOKEN")
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MODEL_NAME = "Qwen/Qwen1.5-1.8B-Chat"
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@@ -15,12 +22,12 @@ app = FastAPI()
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tokenizer = AutoTokenizer.from_pretrained(
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MODEL_NAME,
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trust_remote_code=True,
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-
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)
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model = AutoModelForCausalLM.from_pretrained(
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MODEL_NAME,
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trust_remote_code=True,
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-
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device_map="auto",
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torch_dtype=torch.float16
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).eval()
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import os
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load_dotenv()
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if torch.cuda.is_available():
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if hasattr(torch.backends.cuda, "enable_mem_efficient_sdp"):
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torch.backends.cuda.enable_mem_efficient_sdp(False)
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if hasattr(torch.backends.cuda, "enable_flash_sdp"):
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torch.backends.cuda.enable_flash_sdp(False)
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if hasattr(torch.backends.cuda, "enable_math_sdp"):
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torch.backends.cuda.enable_math_sdp(True)
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# Définir vos tokens
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HUGGINGFACE_TOKEN =os.getenv("HUGGINGFACE_TOKEN")
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MODEL_NAME = "Qwen/Qwen1.5-1.8B-Chat"
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tokenizer = AutoTokenizer.from_pretrained(
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MODEL_NAME,
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trust_remote_code=True,
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token=HUGGINGFACE_TOKEN
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)
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model = AutoModelForCausalLM.from_pretrained(
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MODEL_NAME,
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trust_remote_code=True,
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token=HUGGINGFACE_TOKEN,
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device_map="auto",
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torch_dtype=torch.float16
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).eval()
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