Instructions to use raphaelsty/splade-max with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raphaelsty/splade-max with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="raphaelsty/splade-max")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("raphaelsty/splade-max") model = AutoModelForMaskedLM.from_pretrained("raphaelsty/splade-max", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
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README.md
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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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```sh
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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
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SPLADE Copyright (c) 2021-present NAVER Corp.
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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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```sh
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