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:
- 6a49fe0bbdfc2e8b84f8cfc7593a4234815cc9cba61d88846274167052b994d0
- Size of remote file:
- 957 kB
- SHA256:
- 155969c8891436b107677289f79c3e35130e59b3592ac38aa36f38d90bab9a68
路
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