Transformers
PyTorch
Persian
encoder-decoder
text2text-generation
Wikipedia
Summarizer
bert2bert
Summarization
Instructions to use Arashasg/WikiBert2WikiBert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Arashasg/WikiBert2WikiBert with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Arashasg/WikiBert2WikiBert") model = AutoModelForSeq2SeqLM.from_pretrained("Arashasg/WikiBert2WikiBert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b9095122941b46b41b8b92a4098fb6a44ec113d4e9df2fa8c9ea1794d9a47ae
- Size of remote file:
- 1.42 GB
- SHA256:
- 9543bd3c4385168a6f4cacd449c762ef231ed29f1a59e25f12f77e12c2048eab
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.