Instructions to use issdandavis/tongue-table-lora-brick2-hf-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use issdandavis/tongue-table-lora-brick2-hf-v1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("issdandavis/tongue-table-lora-brick2-hf-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 61bb43dddde2bf8ce09d3a0af95880027d556adff2a25b7016cd1927ba1da819
- Size of remote file:
- 11.4 MB
- SHA256:
- e1bb43ac6226b35aa5fb20bf7f7eeb9c8c63289288dc1ce1ea4c7c69d8079a1d
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