Instructions to use lsr42/dense_sparse_qmlp_dmlm_msmarco_distil_l1_0.0_0.0001_d_encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lsr42/dense_sparse_qmlp_dmlm_msmarco_distil_l1_0.0_0.0001_d_encoder with Transformers:
# Load model directly from transformers import TransformerMLMSparseEncoder model = TransformerMLMSparseEncoder.from_pretrained("lsr42/dense_sparse_qmlp_dmlm_msmarco_distil_l1_0.0_0.0001_d_encoder", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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