microsoft

/

Florence-2-large

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Saved the model with, disabling flash_attn to use CPU, refer to : Fix

def save_florence_model(destination_path):
    """
    Download and save the Florence-2 model and processor locally.

    Parameters:
    - destination_path (str): Local path to save the model and processor.

    Returns:
    - None
    """ 
    with patch("transformers.dynamic_module_utils.get_imports", fixed_get_imports): #workaround for unnecessary flash_attn requirement
            model = AutoModelForCausalLM.from_pretrained(MODEL_HUGGINGFACE_PATH, attn_implementation="sdpa",trust_remote_code=True)
    processor = AutoProcessor.from_pretrained(MODEL_HUGGINGFACE_PATH,trust_remote_code=True)
    processor.save_pretrained("florence_processor")
    torch.save(model.state_dict(), destination_path)
    config = model.config
    config.save_pretrained('florence_config')

Then trying to load with :

def load_florence_processor(florence_processor_path): 
    processor = AutoProcessor.from_pretrained(florence_processor_path, local_files_only=True)
    return processor

def load_florence_local_model(config_path, model_path):
    with patch("transformers.dynamic_module_utils.get_imports", fixed_get_imports): #workaround for unnecessary flash_attn requirement
            model = AutoModelForCausalLM.from_pretrained(model_path, config=config_path, local_files_only=True)
    return model 

Looks like I have all the important files :

.
├── florence2-large.pt
├── florence_config
│   └── config.json
├── florence_processor
│   ├── added_tokens.json
│   ├── merges.txt
│   ├── preprocessor_config.json
│   ├── special_tokens_map.json
│   ├── tokenizer_config.json
│   ├── tokenizer.json
│   └── vocab.json

then running the script :

from utils import load_florence_processor, load_florence_local_model

FLORENCE_PROCESSOR_PATH = "florence_processor"
FLORENCE_CONFIG_PATH = "florence_config"
FLORENCE_MODEL_PATH = "florence_config"


if __name__ == '__main__':
        processor = load_florence_processor(FLORENCE_PROCESSOR_PATH)
        model = load_florence_local_model(FLORENCE_CONFIG_PATH, FLORENCE_MODEL_PATH)

Gives :

The repository for florence_processor contains custom code which must be executed to correctly load the model. You can inspect the repository content at https://hf.co/florence_processor.
You can avoid this prompt in future by passing the argument `trust_remote_code=True`.

Do you wish to run the custom code? [y/N] 

and error :

OSError: We couldn't connect to 'https://huggingface.co' to load this file, couldn't find it in the cached files and it looks like microsoft/Florence-2-large is not the path to a directory containing a file named processing_florence2.py.
Checkout your internet connection or see how to run the library in offline mode at 'https://huggingface.co/docs/transformers/installation#offline-mode'.

How do you guys load hugging face models locally ? I faced the same problems with BLIP2 and the solution was random by changing the model checkpoint path and putting it in a folder, this made it work for BLIP2 but not for florence.