Instructions to use lfuchs/desctension with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lfuchs/desctension with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lfuchs/desctension") model = AutoModelForSeq2SeqLM.from_pretrained("lfuchs/desctension") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 825089a70c29292a03da7be3cbba818d367f71a4316a7f6b89de2cee7647a146
- Size of remote file:
- 2.95 GB
- SHA256:
- 31e2a8ae7e6df6f741ccce8883a11db4acedc0e7c089629e6bbcbfafee1da01f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.