Instructions to use NIRVLab/bartede with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NIRVLab/bartede with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("NIRVLab/bartede") model = AutoModelForSeq2SeqLM.from_pretrained("NIRVLab/bartede") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b2fe0a47fabfb2a2033d3742a6514bc649e0a9f176f64e39f43e1b9be944ca1
- Size of remote file:
- 1.91 GB
- SHA256:
- e770e35697421f428ad1dcc95ba93ebc507612dc32af085f5f331a96720ea355
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.