Fill-Mask
Transformers
PyTorch
ONNX
English
bert
splade++
document-expansion
sparse representation
bag-of-words
passage-retrieval
knowledge-distillation
document encoder
Instructions to use goverlyai/Splade_PP_en_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use goverlyai/Splade_PP_en_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="goverlyai/Splade_PP_en_v2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("goverlyai/Splade_PP_en_v2") model = AutoModelForMaskedLM.from_pretrained("goverlyai/Splade_PP_en_v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 34fbf8a311af939f5d36727e5cd5cfd0e0ef3ac8555c1876816c597b9bbaffc1
- Size of remote file:
- 438 MB
- SHA256:
- a5c6c3009d6344040d0d86c4c9a5586811b54f22cfb3a41b050e8da4f4387aff
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