Instructions to use hf-tiny-model-private/tiny-random-FlaubertForMultipleChoice 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-FlaubertForMultipleChoice 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-FlaubertForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-FlaubertForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-tiny-model-private/tiny-random-FlaubertForMultipleChoice: direct link, hf CLI and curl.
- Browser
- Download file 8.99 MB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-FlaubertForMultipleChoice/resolve/d124a66da90dc4f9fe6e6d3dc4ff48a09eb69e6d/pytorch_model.bin
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-FlaubertForMultipleChoice@d124a66da90dc4f9fe6e6d3dc4ff48a09eb69e6d/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-tiny-model-private/tiny-random-FlaubertForMultipleChoice/resolve/d124a66da90dc4f9fe6e6d3dc4ff48a09eb69e6d/pytorch_model.bin
8.99 MB
- Xet hash:
- ae022ff43fdc6de4d13885915deae0487a10532414b5bbfa3a650a412122e2ae
- Size of remote file:
- 8.99 MB
- SHA256:
- 04d229a64b863e7811c1f6faca1c802c6b65b1113f25672f51fb0fcba495871b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.