Instructions to use hf-tiny-model-private/tiny-random-MBartForQuestionAnswering 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-MBartForQuestionAnswering 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-MBartForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-MBartForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-tiny-model-private/tiny-random-MBartForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
025ff71 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:eb9f357ca4a6733884a070145f8d481338075dc65d5badc989ec1bc74491c191
size 16076180
|