Image-to-Text
Transformers
PyTorch
Safetensors
English
blip-2
visual-question-answering
vision
image-captioning
8-bit precision
Instructions to use Mediocreatmybest/blip2-opt-6.7b_8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mediocreatmybest/blip2-opt-6.7b_8bit with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("image-to-text", model="Mediocreatmybest/blip2-opt-6.7b_8bit")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Mediocreatmybest/blip2-opt-6.7b_8bit") model = AutoModelForMultimodalLM.from_pretrained("Mediocreatmybest/blip2-opt-6.7b_8bit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): a0dd7b9
Adds /home/user/.cache/huggingface/hub/models--Mediocreatmybest--blip2-opt-6.7b_8bit/snapshots/6482f4fe02c2e7ecc78e0aa73e52f670f14c793c/model-00002-of-00002.safetensors
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model-00002-of-00002.safetensors
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