Instructions to use Adapting/KeyBart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Adapting/KeyBart with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Adapting/KeyBart") model = AutoModelForSeq2SeqLM.from_pretrained("Adapting/KeyBart") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4fd300dc4b9f13b08a7a2be625d78e6724628d6435c0880d47f84ec862ed9cf9
- Size of remote file:
- 1.63 GB
- SHA256:
- 2f211f9af7efb3b3323bb0693eda32657921285ffeead506714b67f11b87ca21
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.