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:
- c4c53dfac665bec4c60fcb9df9a69c5aa93eff406d4748021b64923d112f8dd8
- Size of remote file:
- 951 MB
- SHA256:
- ec9f38111bd7b18e2536f6a68716b77d056876facaf70df2e15d69a6e775c40b
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