Instructions to use zcode/seq2seq-parseg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zcode/seq2seq-parseg with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("zcode/seq2seq-parseg") model = AutoModelForSeq2SeqLM.from_pretrained("zcode/seq2seq-parseg") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ca1e8127b17e1204a3f787f9643fd2c88092212e8719056af8cb70aa9af9f02
- Size of remote file:
- 3.13 GB
- SHA256:
- 0f3acec2a732a4276f7b0bfda22da8989b032fc001721df0402ca706e5a8bfaa
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