Instructions to use hf-internal-testing/tiny-random-MPNetForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MPNetForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-MPNetForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MPNetForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-MPNetForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2eeb15029ceec0b309902b2fbf28fa71aef0ce0a243512fe362903f29e176823
- Size of remote file:
- 1.06 MB
- SHA256:
- a549cb709dee625b975e64306fbb38c15baebed032ecb9d147e4f10b946e3df4
路
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