Instructions to use Intel/bert-base-uncased-sparse-1_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Intel/bert-base-uncased-sparse-1_2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("Intel/bert-base-uncased-sparse-1_2") model = AutoModelForPreTraining.from_pretrained("Intel/bert-base-uncased-sparse-1_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 146c15a0a25a2558ac9d0a4b8e40d7bab6628845e60f690570ab4ad8d9f41a71
- Size of remote file:
- 441 MB
- SHA256:
- 34c1cae5cd41b6f0b5e66d2d28231d597453becf9a4006624dfabc4f953fbba9
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