Instructions to use FoundationVision/groma-7b-finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FoundationVision/groma-7b-finetune with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("FoundationVision/groma-7b-finetune", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0712b196b2c8c38649bff8585b0f981eced1e3e62f56de4ec870867314e9f171
- Size of remote file:
- 4.48 kB
- SHA256:
- 1399b30d83dbf1ca65d1657e64aa3b34fec477b04283bc03f98193eb60322fe5
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