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:
# pip install -U transformers accelerate # 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
Download pytorch_model.bin from hf-tiny-model-private/tiny-random-XLMRobertaXLForMultipleChoice: direct link, hf CLI and curl.
- Browser
- Download file 32.2 MB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-XLMRobertaXLForMultipleChoice/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-XLMRobertaXLForMultipleChoice/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-tiny-model-private/tiny-random-XLMRobertaXLForMultipleChoice/resolve/main/pytorch_model.bin
32.2 MB
- Xet hash:
- 5860e7195e017817550ab858e2f744941e532b741d434ab11b1769e907d21695
- Size of remote file:
- 32.2 MB
- SHA256:
- fca62e51e21a012d3f0360d79eaca02814006b6fd5ac92390a43689f87bd2137
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