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:
- e7de630d317ce542e8c93c508843284c4d4e8364c950e48af643a7328cddb611
- Size of remote file:
- 377 kB
- SHA256:
- d6cb7cc3120628d9056114fb09b2ec90ddd29e68ab763d4ab38fb3bd4daa5cc4
路
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