Instructions to use contemmcm/eed3b2fc273ffb52c6b1fa7ecf793821 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use contemmcm/eed3b2fc273ffb52c6b1fa7ecf793821 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("contemmcm/eed3b2fc273ffb52c6b1fa7ecf793821") model = AutoModelForSeq2SeqLM.from_pretrained("contemmcm/eed3b2fc273ffb52c6b1fa7ecf793821") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a9f79341e59a7f49fb1ea3af37914ec4875ab847390b657b7e9f6bf51edc938
- Size of remote file:
- 16.3 MB
- SHA256:
- 65c2d7defb6472fada8a935bb364ae3433f7451780c8a59ab6b3cfbaadb32608
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.