Instructions to use raphaelsty/distilbert-splade with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raphaelsty/distilbert-splade with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="raphaelsty/distilbert-splade")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("raphaelsty/distilbert-splade") model = AutoModelForMaskedLM.from_pretrained("raphaelsty/distilbert-splade") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2999041eedddb20e045d94b56c6a80d88f9f8748f534d5399e26590a8becc38b
- Size of remote file:
- 268 MB
- SHA256:
- ba454feb077191ba727bceba740ff00616d6570425190c34449f9664325f260e
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