Instructions to use nisimachluf/encoderDecoder-opus100-en-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nisimachluf/encoderDecoder-opus100-en-it with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("nisimachluf/encoderDecoder-opus100-en-it") model = AutoModelForSeq2SeqLM.from_pretrained("nisimachluf/encoderDecoder-opus100-en-it", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, epoch 30
d4f74ce -
Training in progress, epoch 29
e064061 -
Training in progress, epoch 28
0985cf9 -
Training in progress, epoch 27
47d0919 -
Training in progress, epoch 26
036495b -
Training in progress, epoch 25
219a53f -
Training in progress, epoch 24
033022e -
Training in progress, epoch 23
d4ed206
-
Training in progress, epoch 22
e893e0b -
Training in progress, epoch 21
1772e05 -
Training in progress, epoch 20
dd2529f -
Training in progress, epoch 19
3355d51 -
Training in progress, epoch 18
6079f4c -
Training in progress, epoch 17
77d4d7c -
Training in progress, epoch 16
87c5268 -
Training in progress, epoch 15
6cffa02 -
Training in progress, epoch 14
7a1bf36 -
Training in progress, epoch 13
e4e2980
-
Training in progress, epoch 12
6a2f764 -
Training in progress, epoch 11
0f5ab73 -
Training in progress, epoch 10
b63a57d -
Training in progress, epoch 9
b2e3e8c -
Training in progress, epoch 8
789ff42 -
Training in progress, epoch 7
943938c -
Training in progress, epoch 6
6005b17 -
Training in progress, epoch 5
c9edeea -
Training in progress, epoch 4
973ee9a
-
Training in progress, epoch 3
4342eee -
Training in progress, epoch 2
1c3c749 -
Training in progress, epoch 1
c2bb2b3