Instructions to use Intel/bert-base-uncased-sparse-70-unstructured with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Intel/bert-base-uncased-sparse-70-unstructured with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Intel/bert-base-uncased-sparse-70-unstructured")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Intel/bert-base-uncased-sparse-70-unstructured") model = AutoModelForMaskedLM.from_pretrained("Intel/bert-base-uncased-sparse-70-unstructured") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b592c57e18cac47cdca132d91b17981e0d731de180e2e46267afb29f96eee5b
- Size of remote file:
- 438 MB
- SHA256:
- 8b5ab7bdcbf2494f3caef5a3c546a23ceff6009aacfe4c749558b8353773459d
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