Instructions to use Shiyunee/seq-min-perm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shiyunee/seq-min-perm with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Shiyunee/seq-min-perm") model = AutoModelForSeq2SeqLM.from_pretrained("Shiyunee/seq-min-perm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a355e6e43a4f8179b26803dd1b8d2675816bca237af948398a94a834ffd54df
- Size of remote file:
- 558 MB
- SHA256:
- eda94bb8b4fd1d4268a4d706788e8e88eb022427316cfaecb25babb0ff45d7a8
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