Instructions to use Intel/bert-base-uncased-sparse-85-unstructured-pruneofa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Intel/bert-base-uncased-sparse-85-unstructured-pruneofa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Intel/bert-base-uncased-sparse-85-unstructured-pruneofa")# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("Intel/bert-base-uncased-sparse-85-unstructured-pruneofa") model = AutoModelForPreTraining.from_pretrained("Intel/bert-base-uncased-sparse-85-unstructured-pruneofa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 518da2e6b0b18ef4d1cbdf85c20159e12ba1e2c0d7a8fa9aab136d584d60983a
- Size of remote file:
- 536 MB
- SHA256:
- f16678e1e634a99e84f16b5dc9d7d4d78f40d2bf2184d9584d1ceac761346821
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