Instructions to use wentingzhao/inversion_seq2seq_baseline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wentingzhao/inversion_seq2seq_baseline with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("wentingzhao/inversion_seq2seq_baseline") model = AutoModelForSeq2SeqLM.from_pretrained("wentingzhao/inversion_seq2seq_baseline") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f710d6035cb2cdb783c38d66534aa1d379e516256721501b6770c6ed81dcc95e
- Size of remote file:
- 892 MB
- SHA256:
- 02e089975af5c71a8129687d4faddad23811a8acd757a0f0ada6cb6a0d98173f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.