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from transformers import AutoModelForCausalLM
from PIL import Image
model = AutoModelForCausalLM.from_pretrained("damerajee/GPT-Vision", trust_remote_code=True)
image_path = "Your_image_path"
image = Image.open(image_path)
image = image.convert('RGB')
question = "Render a clear and concise summary of the photo."
answer = model.generate(image=image,question=question,max_new_tokens=40)
print("Answer:", answer)
Limitations
A fair warning tho guys , this model is only able to generate very short response sometimes it can also repetitive generate the same tokens but even thought it will understands whats on the image
Further Fine-tuning will make this model better
Runs of damerajee GPT-Vision on huggingface.co
36
Total runs
2
24-hour runs
3
3-day runs
6
7-day runs
13
30-day runs
More Information About GPT-Vision huggingface.co Model
GPT-Vision huggingface.co is an AI model on huggingface.co that provides GPT-Vision's model effect (), which can be used instantly with this damerajee GPT-Vision model. huggingface.co supports a free trial of the GPT-Vision model, and also provides paid use of the GPT-Vision. Support call GPT-Vision model through api, including Node.js, Python, http.
GPT-Vision huggingface.co is an online trial and call api platform, which integrates GPT-Vision's modeling effects, including api services, and provides a free online trial of GPT-Vision, you can try GPT-Vision online for free by clicking the link below.
damerajee GPT-Vision online free url in huggingface.co:
GPT-Vision is an open source model from GitHub that offers a free installation service, and any user can find GPT-Vision on GitHub to install. At the same time, huggingface.co provides the effect of GPT-Vision install, users can directly use GPT-Vision installed effect in huggingface.co for debugging and trial. It also supports api for free installation.