dejanseo commited on
Commit
856d741
·
verified ·
1 Parent(s): f693b94

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +0 -5
app.py CHANGED
@@ -16,7 +16,6 @@ st.set_page_config(
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  MODEL_ID = "dejanseo/QDF-large"
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  HF_TOKEN = os.getenv("HF_TOKEN")
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- device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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  model = AutoModelForSequenceClassification.from_pretrained(
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  MODEL_ID,
@@ -24,11 +23,8 @@ model = AutoModelForSequenceClassification.from_pretrained(
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  low_cpu_mem_usage=True
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  ).eval()
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-
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  tokenizer = AutoTokenizer.from_pretrained(MODEL_ID, token=HF_TOKEN)
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- model.eval()
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-
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  def classify(prompt: str):
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  inputs = tokenizer(
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  prompt,
@@ -37,7 +33,6 @@ def classify(prompt: str):
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  padding=True,
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  max_length=512
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  )
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-
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  with torch.no_grad():
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  logits = model(**inputs).logits
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  probs = torch.softmax(logits, dim=-1).squeeze().cpu()
 
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  MODEL_ID = "dejanseo/QDF-large"
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  HF_TOKEN = os.getenv("HF_TOKEN")
 
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  model = AutoModelForSequenceClassification.from_pretrained(
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  MODEL_ID,
 
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  low_cpu_mem_usage=True
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  ).eval()
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  tokenizer = AutoTokenizer.from_pretrained(MODEL_ID, token=HF_TOKEN)
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  def classify(prompt: str):
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  inputs = tokenizer(
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  prompt,
 
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  padding=True,
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  max_length=512
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  )
 
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  with torch.no_grad():
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  logits = model(**inputs).logits
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  probs = torch.softmax(logits, dim=-1).squeeze().cpu()