Instructions to use hf-tiny-model-private/tiny-random-XLMRobertaXLForMultipleChoice 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-XLMRobertaXLForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-XLMRobertaXLForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-XLMRobertaXLForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5860e7195e017817550ab858e2f744941e532b741d434ab11b1769e907d21695
- Size of remote file:
- 32.2 MB
- SHA256:
- fca62e51e21a012d3f0360d79eaca02814006b6fd5ac92390a43689f87bd2137
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.