custom_code/bharatgenai_patram-7b-instruct.py

# /// script
# requires-python = ">=3.12"
# dependencies = [
#     "transformers",
#     "torch",
# ]
# ///

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="bharatgenai/patram-7b-instruct", trust_remote_code=True)
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)
# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("bharatgenai/patram-7b-instruct", trust_remote_code=True)