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:
- 1c6baa733b490e54bdc1bc0d70833b69628a8ef912825074ff42309997989940
- Size of remote file:
- 951 MB
- SHA256:
- c6543e1c5efec6b0dd698bbec06d48814f1a047b418ecec2ba87c217eb759385
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