Instructions to use IAmSkyDra/BARTBana_Translation_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IAmSkyDra/BARTBana_Translation_v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("IAmSkyDra/BARTBana_Translation_v2") model = AutoModelForSeq2SeqLM.from_pretrained("IAmSkyDra/BARTBana_Translation_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9be918f4dcf4bb471e939cf9706918c47a992345c794fb875c72ecdeea35f345
- Size of remote file:
- 1.58 GB
- SHA256:
- 708d82ce082d7ee4a2a23fad4ee8094e5b9476ca6eae118bef60b6bee999f22b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.