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:
- ba27388b88c2da4475302b04156b42c939f955f345daa197f9a6bf4324749683
- Size of remote file:
- 85.8 MB
- SHA256:
- 1ed5ec095ef64893bcddcfeca72b34c0cfd61506702bf2fcf85933f888ec0e1d
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