Instructions to use tinycompany/Multi-super-128K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tinycompany/Multi-super-128K with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tinycompany/Multi-super-128K", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5872b97a0e2cb3a9a38bd9ad49871c8d2c1743c6958151e261b6a4ee89fff747
- Size of remote file:
- 10.8 MB
- SHA256:
- fd13b042f774e9202de232415686d7285860998a84fdba40afa5c2bcaadbef4c
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