Instructions to use Jordancole21/sufu-splade with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jordancole21/sufu-splade with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Jordancole21/sufu-splade")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Jordancole21/sufu-splade") model = AutoModelForMaskedLM.from_pretrained("Jordancole21/sufu-splade", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5e9b835b4eafa67951adec93e8748d145ccf518cd941892ae1e66d92ff2887cc
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size 1421700748
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