Instructions to use psxjp5/mt5-small_large_lr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use psxjp5/mt5-small_large_lr with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("psxjp5/mt5-small_large_lr") model = AutoModelForSeq2SeqLM.from_pretrained("psxjp5/mt5-small_large_lr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
update model card README.md
9dcae90 -
End of training
363f796 -
Training in progress, step 1400
021e6c1 -
Training in progress, step 1225
805625b -
Training in progress, step 1050
d5ec279 -
Training in progress, step 875
c4746cf -
Training in progress, step 700
6bc3538 -
Training in progress, step 525
f7a41d0 -
Training in progress, step 350
2b9c29a -
Training in progress, step 175
11103be -
Training in progress, step 175
6f3d22f -
initial commit
361b3e8