Instructions to use hf-internal-testing/tiny-random-XLMRobertaXLForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-XLMRobertaXLForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-XLMRobertaXLForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-internal-testing/tiny-random-XLMRobertaXLForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24ff26da4b69b9fb1406e25b343fd42012d2153a019197b547ac7482867c6d7a
- Size of remote file:
- 32.2 MB
- SHA256:
- e2d2b79081c3adf6c8da9f432140ba5d3d30b0b68480a5c1e55cf6c8d3f898e2
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