hf-tiny-model-private

/

tiny-random-Blip2ForConditionalGeneration

like 0

Follow

HF tiny models (private usage) 11

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

pipe = pipeline("visual-question-answering", model="hf-tiny-model-private/tiny-random-Blip2ForConditionalGeneration")

# Load model directly
from transformers import AutoProcessor, AutoModelForVisualQuestionAnswering

processor = AutoProcessor.from_pretrained("hf-tiny-model-private/tiny-random-Blip2ForConditionalGeneration")
model = AutoModelForVisualQuestionAnswering.from_pretrained("hf-tiny-model-private/tiny-random-Blip2ForConditionalGeneration")