Instructions to use Vivek/gptneo_cose with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vivek/gptneo_cose with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("Vivek/gptneo_cose") model = AutoModelForMultipleChoice.from_pretrained("Vivek/gptneo_cose") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 861b3879f922e90b6b869dedc3b87fbe0daaf3faa8535c9f0ec7cc48bcd9cf5a
- Size of remote file:
- 5.26 GB
- SHA256:
- ea0172ae20da21487c58a2b55a8aaf3e67f8ab7e585b5868528210f98a3fe7ed
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.