Image-to-Text
Transformers
Safetensors
Japanese
llava-jp
text-generation
vision
image-captioning
VQA
Instructions to use toshi456/llava-jp-1.3b-v1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use toshi456/llava-jp-1.3b-v1.1 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="toshi456/llava-jp-1.3b-v1.1")# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("toshi456/llava-jp-1.3b-v1.1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e03f37196b40d8111da3a174b86ac3662c8accf183972f6473c4b79475b92dc
- Size of remote file:
- 1.58 GB
- SHA256:
- 3d5dc996e882253e2fe5792299ab2c8c083cbab2325ef78bf83f181258d7e9e6
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