Instructions to use raphaelsty/sparsembed-max with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raphaelsty/sparsembed-max with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="raphaelsty/sparsembed-max")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("raphaelsty/sparsembed-max") model = AutoModelForMaskedLM.from_pretrained("raphaelsty/sparsembed-max") - Notebooks
- Google Colab
- Kaggle
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This model was trained with [Sparsembed](https://github.com/raphaelsty/sparsembed). You can find details on how to use it in the [Sparsembed](https://github.com/raphaelsty/sparsembed) repository.
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This model was trained with [Sparsembed](https://github.com/raphaelsty/sparsembed). You can find details on how to use it in the [Sparsembed](https://github.com/raphaelsty/sparsembed) repository.
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