Request: DOI
How can i access that model as i have this error while accessessing that
Traceback (most recent call last):
File "C:\Users\rizvi\OneDrive\Desktop\DeepSeek-VL2-main\web_demo.py", line 643, in
demo = build_demo(args)
^^^^^^^^^^^^^^^^
File "C:\Users\rizvi\OneDrive\Desktop\DeepSeek-VL2-main\web_demo.py", line 452, in build_demo
fetch_model(args.model_name)
File "C:\Users\rizvi\OneDrive\Desktop\DeepSeek-VL2-main\web_demo.py", line 124, in fetch_model
DEPLOY_MODELS[model_name] = load_model(model_path, dtype=dtype)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\rizvi\OneDrive\Desktop\DeepSeek-VL2-main\deepseek_vl2\serve\inference.py", line 38, in load_model
vl_chat_processor = DeepseekVLV2Processor.from_pretrained(model_path)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\rizvi\OneDrive\Desktop\DeepSeek-VL2-main\venv\Lib\site-packages\transformers\processing_utils.py", line 465, in from_pretrained
args = cls._get_arguments_from_pretrained(pretrained_model_name_or_path, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\rizvi\OneDrive\Desktop\DeepSeek-VL2-main\venv\Lib\site-packages\transformers\processing_utils.py", line 511, in _get_arguments_from_pretrained
args.append(attribute_class.from_pretrained(pretrained_model_name_or_path, **kwargs))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\rizvi\OneDrive\Desktop\DeepSeek-VL2-main\venv\Lib\site-packages\transformers\tokenization_utils_base.py", line 1969, in from_pretrained
resolved_config_file = cached_file(
^^^^^^^^^^^^
File "C:\Users\rizvi\OneDrive\Desktop\DeepSeek-VL2-main\venv\Lib\site-packages\transformers\utils\hub.py", line 421, in cached_file
raise EnvironmentError(
OSError: DeepSeek-VL2-tiny is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models'
If this is a private repository, make sure to pass a token having permission to this repo either by logging in with huggingface-cli login or by passing token=<your_token>