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:
- 9d1e6c8fa421eb75c81fec004642d3b3ab8c150d5c4a2be4aa6ef93062316ee5
- Size of remote file:
- 4.05 GB
- SHA256:
- e57a2aa19468c070cc9ca2b6d738f31d789ebc92e1314f30b4a28594d3a93988
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