Instructions to use raphaelsty/splade-max with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raphaelsty/splade-max with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="raphaelsty/splade-max")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("raphaelsty/splade-max") model = AutoModelForMaskedLM.from_pretrained("raphaelsty/splade-max") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4af22fb49e21561b43c41d52045e136d8f2759598771b5b0b1f36610eb2e299b
- Size of remote file:
- 268 MB
- SHA256:
- f35afd14d3a5979308a7ef9a7dacc59ddb5ad40823f2125005600ee207e2a348
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