Instructions to use approach0/splade_somemath-bertnsp-220 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use approach0/splade_somemath-bertnsp-220 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="approach0/splade_somemath-bertnsp-220")# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("approach0/splade_somemath-bertnsp-220") model = AutoModelForPreTraining.from_pretrained("approach0/splade_somemath-bertnsp-220", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb211966201600ac8d149d9db466843a1ee06a069cc3270e1b2b73d6fbee124d
- Size of remote file:
- 444 MB
- SHA256:
- 77c4d0ec07c429a3ce9571e75ead555df2e0221f9536e50516538d9f8202d25f
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