Instructions to use Intel/dynamic_tinybert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Intel/dynamic_tinybert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Intel/dynamic_tinybert")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Intel/dynamic_tinybert") model = AutoModelForQuestionAnswering.from_pretrained("Intel/dynamic_tinybert") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 50073d0bbeb8e19313d967b48977189674a37bca1be4c94ab8c2e80d69863ad2
- Size of remote file:
- 2.2 kB
- SHA256:
- 45211a37428e561ecc29dc69804a75bca37187c651ccb38f8fa237eefa978c1e
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