Instructions to use Intel/tiny-random-bert_ipex_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Intel/tiny-random-bert_ipex_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Intel/tiny-random-bert_ipex_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Intel/tiny-random-bert_ipex_model") model = AutoModelForQuestionAnswering.from_pretrained("Intel/tiny-random-bert_ipex_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d560d2352fafdf542637f865a46f394fc6553cc2b7a8ce80d014f78c057befb9
- Size of remote file:
- 358 kB
- SHA256:
- 83122a74836d668aec7a98ab8e75ad2b675ebdb93f53c91e611f630964bcb8c3
路
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