Instructions to use sdadas/polish-splade with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sdadas/polish-splade with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="sdadas/polish-splade")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("sdadas/polish-splade") model = AutoModelForMaskedLM.from_pretrained("sdadas/polish-splade") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d0cc99a123e1e88e185c2a2a7bd8e6cd6b7703a7e9aad547d1aa9e49de4d4e06
- Size of remote file:
- 328 MB
- SHA256:
- 97a7cfb1562cd0b876ba8c26730c6eca8e4de5168794320aba0045b01773fe18
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