Instructions to use Alpha-VLLM/Lumina-mGPT-7B-768 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alpha-VLLM/Lumina-mGPT-7B-768 with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForSeq2SeqLM processor = AutoProcessor.from_pretrained("Alpha-VLLM/Lumina-mGPT-7B-768") model = AutoModelForSeq2SeqLM.from_pretrained("Alpha-VLLM/Lumina-mGPT-7B-768") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a22ecb8a4fe9cc3f86944209c49dfcc97e5460ebdc42e1f70e8aab212e0e40c9
- Size of remote file:
- 9.98 GB
- SHA256:
- 1d5d8d5532bae0f32ba35d10d411e506d61e4378dc9fc338f2b1e6af2aa322ec
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