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:
- cf2ffbc142fc44608df1e3e5ac491fa3dc47cb1d0c351f0dcffd6992eaba1552
- Size of remote file:
- 33.1 GB
- SHA256:
- 16a254f622242706714281c0d88ec08505beb16b5e3f8812b5f16aee984f4acf
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