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:
# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download onnx/model.onnx from hf-internal-testing/tiny-random-MobileBertForMultipleChoice: direct link, hf CLI and curl.
- Browser
- Download file 2.93 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-MobileBertForMultipleChoice/resolve/refs%2Fpr%2F2/onnx/model.onnx
- Command line
-
hf download hf://hf-internal-testing/tiny-random-MobileBertForMultipleChoice@refs/pr/2/onnx/model.onnx
-
curl -L -o model.onnx https://huggingface.co/hf-internal-testing/tiny-random-MobileBertForMultipleChoice/resolve/refs%2Fpr%2F2/onnx/model.onnx
2.93 MB
- Xet hash:
- bfc96ec65f13c4245f999dd59499a4cc17a171ca911ef62a86b2f1dfa3d68d9b
- Size of remote file:
- 2.93 MB
- SHA256:
- 9c67b8b0f30c84526853274b0a906ccb98ccf272e4bdf4ac568008f43bd167d2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.