Fill-Mask
Transformers
PyTorch
Safetensors
English
bert
splade
query-expansion
document-expansion
bag-of-words
passage-retrieval
knowledge-distillation
Instructions to use baseplate/splade-cocondenser-selfdistil with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use baseplate/splade-cocondenser-selfdistil with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="baseplate/splade-cocondenser-selfdistil")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("baseplate/splade-cocondenser-selfdistil") model = AutoModelForMaskedLM.from_pretrained("baseplate/splade-cocondenser-selfdistil") - Notebooks
- Google Colab
- Kaggle
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