Instructions to use hf-tiny-model-private/tiny-random-LukeForMultipleChoice 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-LukeForMultipleChoice 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-LukeForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-LukeForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-tiny-model-private/tiny-random-LukeForMultipleChoice: direct link, hf CLI and curl.
- Browser
- Download file 6.79 MB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-LukeForMultipleChoice/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-LukeForMultipleChoice@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-tiny-model-private/tiny-random-LukeForMultipleChoice/resolve/refs%2Fpr%2F1/model.safetensors
6.79 MB
- Xet hash:
- dfa4ad5d5c1e77686d8ef16b9f5e57c498f79cd7ba7afab34e0e12bc52c4d371
- Size of remote file:
- 6.79 MB
- SHA256:
- 51e30458934028cb82e47eb54c5adf47960b266e3ebe6eb513abd64d73e7eb70
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.