Text-to-Image
Transformers
Safetensors
mobile_o_inference
text-generation
mobile-o
multimodal
unified-model
vision-language
image-understanding
Instructions to use Amshaker/Mobile-O-1.5B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Amshaker/Mobile-O-1.5B with Transformers:
# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("Amshaker/Mobile-O-1.5B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 066f03b0f792cd140d8afff466254b0c4403323e7ef6a718253b26d234627b35
- Size of remote file:
- 5.32 GB
- SHA256:
- 7183cb4d4a8e5a8e861d930d7ebfb2e365893cb05975fc46b9b7892d85b713cc
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