Instructions to use Srinivasmec26/MindSlate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use Srinivasmec26/MindSlate with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("Srinivasmec26/MindSlate", set_active=True) - Transformers
How to use Srinivasmec26/MindSlate with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Srinivasmec26/MindSlate", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Commit History
-
Update README.md
Verified signaturef5bd2d3 -
Update README.md
Verified signaturea8dd501 -
Update README.md
Verified signaturedeee1bb -
Upload model trained with Unsloth
Verified signatureUpload model trained with Unsloth 2x faster8c21ceb -
Upload model trained with Unsloth
Verified signatureUpload model trained with Unsloth 2x faster63ac0c4 -
Upload README.md with huggingface_hub
Verified signaturee978130 -
initial commit
Verified signature25e781d