Instructions to use hf-tiny-model-private/tiny-random-MPNetForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-MPNetForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-tiny-model-private/tiny-random-MPNetForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-MPNetForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-tiny-model-private/tiny-random-MPNetForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
4bd6525 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:ceb636854ded6a772822b29e55295ea9c2e3d299c66c02821f3a708aab315b0f
size 1064472
|