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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("wentingzhao/inversion_seq2seq_baseline") model = AutoModelForSeq2SeqLM.from_pretrained("wentingzhao/inversion_seq2seq_baseline", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload T5ForConditionalGeneration
839270f
-
Upload T5ForConditionalGeneration
a3743ca -
Upload T5ForConditionalGeneration
34d9cf1
-
Upload T5ForConditionalGeneration
79ca1c9 -
Upload tokenizer
9762901 -
Upload T5ForConditionalGeneration
75acb6d -
initial commit
0c8eed4