Instructions to use zagibest/seq2seq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zagibest/seq2seq with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("zagibest/seq2seq") model = AutoModelForSeq2SeqLM.from_pretrained("zagibest/seq2seq") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a668f41a2fe3f5557694d8713aefb2622d123bf184d849740abb4d0a727160b5
- Size of remote file:
- 242 MB
- SHA256:
- ac91683e09133bc003aafb074d9ff7360816438e7a5abb837e75fdc89cfebf52
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