Instructions to use Zohaib002/Longformer-Encoder-Decoder-LED with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zohaib002/Longformer-Encoder-Decoder-LED with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Zohaib002/Longformer-Encoder-Decoder-LED") model = AutoModelForSeq2SeqLM.from_pretrained("Zohaib002/Longformer-Encoder-Decoder-LED") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d89db3b0ced53ec7fdd574942baa8ac005bef99c59662a704962a5672aba14d
- Size of remote file:
- 648 MB
- SHA256:
- 406c48cd0a1c1e84eac686749344915c7dcf57c66c025700e9cc9573ae95292d
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