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:
- 0518b169ab1c4d6fea523ec7ee8e76f485af15011ce7295f073d83e40df58f80
- Size of remote file:
- 4.76 MB
- SHA256:
- b0ed6b764be682e469d9ed5109d2af9b0b471268112e5fd353a45a6a4316a237
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