Instructions to use raphaelsty/distilbert-sparsembed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raphaelsty/distilbert-sparsembed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="raphaelsty/distilbert-sparsembed")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("raphaelsty/distilbert-sparsembed") model = AutoModelForMaskedLM.from_pretrained("raphaelsty/distilbert-sparsembed") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b9a5255a1c6bb3cd160ef9640d5db85f39b607b5b0c42d84cf117ca34ab87ab9
- Size of remote file:
- 197 kB
- SHA256:
- 4d8eab302f6a63c733af3ef697e482a0d092723ac8c4aa2368d1638cafbff699
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