Instructions to use hf-tiny-model-private/tiny-random-Data2VecTextForMultipleChoice 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-Data2VecTextForMultipleChoice 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-Data2VecTextForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-Data2VecTextForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-tiny-model-private/tiny-random-Data2VecTextForMultipleChoice: direct link, hf CLI and curl.
- Browser
- Download file 373 kB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-Data2VecTextForMultipleChoice/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-Data2VecTextForMultipleChoice/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-tiny-model-private/tiny-random-Data2VecTextForMultipleChoice/resolve/main/pytorch_model.bin
373 kB
- Xet hash:
- 708d5fcc09e4ffae3c507105a92ae2a7e7a50e4130fe129ef0fd362ddc304ca2
- Size of remote file:
- 373 kB
- SHA256:
- e69a01a5d58092e1ec16ebcd1d4067307d899e96eae993a559d3e924a895a7ce
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