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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("baseplate/splade-cocondenser-selfdistil") model = AutoModelForMaskedLM.from_pretrained("baseplate/splade-cocondenser-selfdistil", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update handler.py
90c5479
-
Update handler.py
e81d4fe -
Update handler.py
b50421a -
Update handler.py
f44ab2c -
Update handler.py
a630f6d
-
Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (415a139a23268b3b368fe0964dcb462c59f6be95) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>50a7021
-
Update handler.py
50d4118
-
update type
Andrew Luo6126352 -
update handler
Andrew Luod83d72b -
customer handler
Andrew Luoc98f9e5 -
Duplicate from naver/splade-cocondenser-selfdistil
Co-authored-by: Julien Chaumond <julien-c@users.noreply.huggingface.co>07655e0