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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- efe43f9d9b9a5ddfba713a8df82dc0d297323c25228118c10d740e91f0a0839f
- Size of remote file:
- 1.63 GB
- SHA256:
- b50d8bdfd2ba1f9ed9064ba8420b018be24fed5f2356024c9bb1ad7afb12e3b3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.