Instructions to use raphaelsty/sparsembed-max with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raphaelsty/sparsembed-max with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="raphaelsty/sparsembed-max")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("raphaelsty/sparsembed-max") model = AutoModelForMaskedLM.from_pretrained("raphaelsty/sparsembed-max") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c5a8698c3d80695eee4cc52b35193dd11d76f7907a552529b89def69fcd53ca1
- Size of remote file:
- 197 kB
- SHA256:
- cf052e8af3766d810190f7dbd8e80261236df20aa6bc0cf4972201d7b351b13a
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