Instructions to use eternis/eternis_router_encoder_sft_4Sep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eternis/eternis_router_encoder_sft_4Sep with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("eternis/eternis_router_encoder_sft_4Sep", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d123611511277dbe2cf4fc2edfcfd7455497dde9b36f6307ecab99a1773daabe
- Size of remote file:
- 5.84 kB
- SHA256:
- c74e963cccb4dc2877276465124794d47b4eb4f1835e408771dc3b7e331c8566
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.