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:
- 1c73eb517253f3661900e6a6f70cb5c2325a24a656b61c4c1fe6a9759706e466
- Size of remote file:
- 951 MB
- SHA256:
- dad27b02c3795dc853cdd928f5ebb5a3379b84f0a0a8416060b4064f34f22fa7
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