Instructions to use hf-internal-testing/tiny-random-ConvBertForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-ConvBertForMultipleChoice with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-ConvBertForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-internal-testing/tiny-random-ConvBertForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-internal-testing/tiny-random-ConvBertForMultipleChoice: direct link, hf CLI and curl.
- Browser
- Download file 5.34 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-ConvBertForMultipleChoice/resolve/refs%2Fpr%2F2/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-ConvBertForMultipleChoice@refs/pr/2/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-ConvBertForMultipleChoice/resolve/refs%2Fpr%2F2/model.safetensors
5.34 MB
- Xet hash:
- dd3187eba4137e72831fd9e2cea01b96c2d7c2c446d4b4fd24652fd0485b6c13
- Size of remote file:
- 5.34 MB
- SHA256:
- 7736b7e3ce4bd546d0256aff838c691c09a5f6f99e17ee1819e1336766273fe3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.