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:
- 1a4026018b00488c849649c2dcc1269aa46374f0ad92de9c428faa99223869c2
- Size of remote file:
- 35.2 MB
- SHA256:
- de9250f2c69b9030416ed20bdbff1d47e1e6372dc2096c80ca77e36656d246a4
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