Instructions to use SpireLab/RESPIN_LanguageModels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SpireLab/RESPIN_LanguageModels with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="SpireLab/RESPIN_LanguageModels")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SpireLab/RESPIN_LanguageModels", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 71dc53013887ca58273555ae21d8d3d794039dd56af00de0be6ea692a9a43c5d
- Size of remote file:
- 951 MB
- SHA256:
- 1a1f52ed43ec68ce6a7bc9e666560c12bb7bd94c1155ecd35eacc1644e145487
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.