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:
- 1ab46cf511c28161a73cfcd607116c5c4d216f8829702139bd676228716802d2
- Size of remote file:
- 3.77 kB
- SHA256:
- 362aa26595bad8d34cac60cf2c0d049d8eebabc82861e3de305c453a98b72392
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