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")# pip install -U transformers accelerate # 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") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from raphaelsty/splade-max: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/raphaelsty/splade-max/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://raphaelsty/splade-max/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/raphaelsty/splade-max/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- 5715b7558bb69fb02c8a529ef5beead7a5d4490c3f3a791f9f8c133f478dc582
- Size of remote file:
- 268 MB
- SHA256:
- 6fef68f3b74d90f1923491464e84746bc02a8dce7abcb70a7d67dca0a313a72e
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