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:
- 57d56760c69f685fb9b61fabf83b173d35ea18efc40701a61f6dd2dae7684cb5
- Size of remote file:
- 951 MB
- SHA256:
- 9a4a99e7563a8ee6fef7f7a5df489b3eaeddeef4ac1b30d184f30263e2cfa8b7
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