Instructions to use lsr42/splade with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lsr42/splade with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import SPLADE model = SPLADE.from_pretrained("lsr42/splade", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from lsr42/splade: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
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https://huggingface.co/lsr42/splade/resolve/main/tokenizer.json
- Command line
-
hf download hf://lsr42/splade/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/lsr42/splade/resolve/main/tokenizer.json
711 kB
File too large to display, you can check the raw version instead.