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:
- b75c16ad9b2b98a72bcba2d9114f9767b52876085f0b7b201cd32e2237270eb1
- Size of remote file:
- 951 MB
- SHA256:
- be63886abc798a052acae671f0aec88eab060828af1994305d1b133c54ee090a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.