ValueError: Could not load model microsoft/Florence-2-large with any of the following classes.
I am loading the transformers pipeline on the google colab with the T4 GPU runtime . the transformers version is 4.41.2 and when I am trying to run the following pipeline command:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("image-to-text", model="microsoft/Florence-2-large", trust_remote_code=True)
so I think for now the support to the pipeline should be removed till its being supported .
hi, did you manage to run the model? I cannot even load the model using the example code. I'm using transformers 4.50.0.dev0
'''
device = "cuda:0" if torch.cuda.is_available() else "cpu"
torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32
model = AutoModelForCausalLM.from_pretrained("microsoft/Florence-2-large", torch_dtype=torch_dtype, trust_remote_code=True).to(device)
processor = AutoProcessor.from_pretrained("microsoft/Florence-2-large", trust_remote_code=True)
prompt = ""
url = "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/tasks/car.jpg?download=true"
image = Image.open(requests.get(url, stream=True).raw)
inputs = processor(text=prompt, images=image, return_tensors="pt").to(device, torch_dtype)
generated_ids = model.generate(
input_ids=inputs["input_ids"],
pixel_values=inputs["pixel_values"],
max_new_tokens=4096,
num_beams=3,
do_sample=False
)
generated_text = processor.batch_decode(generated_ids, skip_special_tokens=False)[0]
parsed_answer = processor.post_process_generation(generated_text, task="", image_size=(image.width, image.height))
print(parsed_answer)
'''