Transformers
PyTorch
TensorBoard
mt5
text2text-generation
Generated from Trainer
Eval Results (legacy)
Instructions to use psxjp5/mt5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use psxjp5/mt5-small with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("psxjp5/mt5-small") model = AutoModelForSeq2SeqLM.from_pretrained("psxjp5/mt5-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
278ad65 -
Update README.md
8a94c9b -
Update README.md
f93b91e -
Update README.md
6582fd0 -
Update README.md
3c0c29c -
Update README.md
6380c39 -
Update README.md
7e6f6a6 -
Update README.md
b6413de -
Update README.md
f8aa6e8
-
Update README.md
03890a3 -
update model card README.md
fb8317d -
End of training
8207004 -
Training in progress, step 1750
e789c45 -
Training in progress, step 1575
f23e911 -
Training in progress, step 1400
202affd -
Training in progress, step 1225
73a31e8 -
Training in progress, step 1050
e0d2c19 -
Training in progress, step 875
064c7ca -
Training in progress, step 700
3357512 -
Training in progress, step 525
021d5a9 -
Training in progress, step 350
b351d75 -
Training in progress, step 175
3255a6f -
initial commit
b7b21bb