runtime error

Exit code: 1. Reason: 00:00<?, ?B/s] pytorch_model.bin: 25%|██▍ | 201M/806M [00:02<00:07, 79.9MB/s] pytorch_model.bin: 100%|██████████| 806M/806M [00:02<00:00, 306MB/s] model.safetensors: 0%| | 0.00/806M [00:00<?, ?B/s] Loading weights: 0%| | 0/484 [00:00<?, ?it/s] Loading weights: 100%|██████████| 484/484 [00:00<00:00, 12889.65it/s] tokenizer_config.json: 0%| | 0.00/57.4k [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 57.4k/57.4k [00:00<00:00, 78.2MB/s] tokenizer.json: 0%| | 0.00/17.2M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 17.2M/17.2M [00:00<00:00, 24.2MB/s] special_tokens_map.json: 0%| | 0.00/342 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 342/342 [00:00<00:00, 741kB/s] model.safetensors: 8%|▊ | 68.5M/806M [00:02<00:29, 25.2MB/s] model.safetensors: 100%|██████████| 806M/806M [00:03<00:00, 264MB/s]  model.safetensors: 100%|██████████| 806M/806M [00:03<00:00, 209MB/s] Traceback (most recent call last): File "/app/app.py", line 27, in <module> llm_model = AutoModelForCausalLM.from_pretrained( llm_model_name, torch_dtype=torch.float32, # CPU safe device_map="cpu" ) File "/usr/local/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 338, in from_pretrained config, kwargs = AutoConfig.from_pretrained( ~~~~~~~~~~~~~~~~~~~~~~~~~~^ pretrained_model_name_or_path, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ...<4 lines>... **kwargs, ^^^^^^^^^ ) ^ File "/usr/local/lib/python3.13/site-packages/transformers/models/auto/configuration_auto.py", line 419, in from_pretrained raise ValueError( ...<2 lines>... ) ValueError: Unrecognized model in manaspros/indian-receipt-parser-v2. Should have a `model_type` key in its config.json.

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