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# /// 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) |