Fill-Mask
Transformers
PyTorch
English
bert
splade
query-expansion
document-expansion
bag-of-words
passage-retrieval
knowledge-distillation
document encoder
Instructions to use marmalade/efficient-splade-VI-BT-large-query with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marmalade/efficient-splade-VI-BT-large-query with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="marmalade/efficient-splade-VI-BT-large-query")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("marmalade/efficient-splade-VI-BT-large-query") model = AutoModelForMaskedLM.from_pretrained("marmalade/efficient-splade-VI-BT-large-query") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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oid sha256:76b4afcdcc782ec4d98a5152e683e529ff47b21b0c1f55b8be9d0dbed83a0342
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size 17675872
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