Instructions to use hf-internal-testing/tiny-random-MptForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MptForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-MptForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MptForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-MptForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8da63706a5b5e8aec026cf49a0f9e6a266710bf48d64e9a05a5d5e5126016228
- Size of remote file:
- 382 kB
- SHA256:
- 963421180cb070ca146b30723441afb601cafac07287d253155ce0d356f37cd7
路
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