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:
- 2d19c11aad091cc262b5586e31b07ac704ddfee653e3f013341ed363db4c47ca
- Size of remote file:
- 4.76 MB
- SHA256:
- bae3c0bb2aa55f340610ce167210a9621c6aed10d39ba26f50efd1b48a33b4bd
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