Instructions to use GeneZC/sparsebert-base-minilm-98S with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GeneZC/sparsebert-base-minilm-98S with Transformers:
# Load model directly from transformers import AutoTokenizer, SparseBertMiniLM tokenizer = AutoTokenizer.from_pretrained("GeneZC/sparsebert-base-minilm-98S") model = SparseBertMiniLM.from_pretrained("GeneZC/sparsebert-base-minilm-98S", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 50d36e2a73d8f1c28c7edb08d7a0701acb1ac2ba3b90d4020716c031dc580eb8
- Size of remote file:
- 30.4 MB
- SHA256:
- f2069d4886b8499bfd289d8c455698d886d639eaf708c244b98579ce61330f0a
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