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:
- 51b97d94515679bc0269c3dd9d88bd66b3bdc468cde1317b7c95a6b001a4eb6f
- Size of remote file:
- 268 MB
- SHA256:
- 3f4893e85630e59d3944c2b55bb980aeafa7858c2f2ade387e401e96dfe6341a
路
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