Instructions to use hf-internal-testing/tiny-random-MobileBertForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MobileBertForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MobileBertForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-internal-testing/tiny-random-MobileBertForMultipleChoice") - Notebooks
- Google Colab
- Kaggle
Upload ONNX weights
#1
by Xenova HF Staff - opened
[Automated] Converted using Optimum. Models will be merged manually by @Xenova once they have been checked with Transformers.js.
Xenova changed pull request title from [Awaiting approval] Upload ONNX weights to Upload ONNX weights
Xenova changed pull request status to merged