Instructions to use hf-tiny-model-private/tiny-random-RoFormerForMultipleChoice 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-RoFormerForMultipleChoice 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-RoFormerForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-RoFormerForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-tiny-model-private/tiny-random-RoFormerForMultipleChoice: direct link, hf CLI and curl.
- Browser
- Download file 6.56 MB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-RoFormerForMultipleChoice/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-RoFormerForMultipleChoice@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-tiny-model-private/tiny-random-RoFormerForMultipleChoice/resolve/refs%2Fpr%2F1/model.safetensors
6.56 MB
- Xet hash:
- f0578bc1c1cb58979d23a3f5010a39cf33d0866e077107564f083731e56b5f3a
- Size of remote file:
- 6.56 MB
- SHA256:
- d1b0fbb0929301d93cd03c5da2fdf19d3f3ecc8fed85c90a8b1ee3f24c7850ed
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