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:
- a17b02fba7e6526168578e02331d8d7b800b397ed5c4e181d7c8f10c3cd702f5
- Size of remote file:
- 951 MB
- SHA256:
- de33c5c133ada57b0d14c4a3c82858697375404d7c93b064ae98e824c7ba3131
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