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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 195876456bd431fa6f52cb9d5e61631f848ec3eb949ddfd6dc432bacba993e54
- Size of remote file:
- 5.3 kB
- SHA256:
- 7045f6bb9f738a9d8ede00a3453edc500b8eb579edea5aaeff971f5a4baffd29
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.