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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5715b7558bb69fb02c8a529ef5beead7a5d4490c3f3a791f9f8c133f478dc582
- Size of remote file:
- 268 MB
- SHA256:
- 6fef68f3b74d90f1923491464e84746bc02a8dce7abcb70a7d67dca0a313a72e
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