Upload batch_classify_arxiv_incremental.py with huggingface_hub

batch_classify_arxiv_incremental.py

@@ -87,7 +87,7 @@ def check_backend() -> Tuple[str, int]:
         return "vllm", 100_000
     elif torch.cuda.is_available():
         logger.info("CUDA available but vLLM not installed. Using transformers with GPU.")
-        return "cuda", 10_000
+        return "cuda", 256  # Smaller batch for transformers to avoid OOM
     elif torch.backends.mps.is_available():
         logger.info("Using Apple Silicon MPS device with transformers")
         return "mps", 1_000
@@ -253,7 +253,7 @@ def classify_with_vllm(
     Classify papers using vLLM for efficient GPU inference.
     """
     logger.info(f"Initializing vLLM with model: {model_id}")
-    llm = LLM(model=model_id, task="classify")
+    llm = LLM(model=model_id, runner="pooling")
     
     texts = dataset["text_for_classification"]
     total_papers = len(texts)