Instructions to use hf-internal-testing/tiny-random-XLMForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-XLMForMultipleChoice with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-XLMForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-internal-testing/tiny-random-XLMForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-internal-testing/tiny-random-XLMForMultipleChoice: direct link, hf CLI and curl.
- Browser
- Download file 4.19 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-XLMForMultipleChoice/resolve/refs%2Fpr%2F2/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-XLMForMultipleChoice@refs/pr/2/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-XLMForMultipleChoice/resolve/refs%2Fpr%2F2/model.safetensors
4.19 MB
- Xet hash:
- 6af2944537bfed994ad4662a029e8efe7bd35e8751645f1ed444e7aefe700c37
- Size of remote file:
- 4.19 MB
- SHA256:
- 2fdfaa5b2dc8abaa2e787f5a2eb5d05da8118e504958503026acf44d734d1424
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