Instructions to use Swamitucats/M2M101 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Swamitucats/M2M101 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Swamitucats/M2M101") model = AutoModelForSeq2SeqLM.from_pretrained("Swamitucats/M2M101", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
update model card README.md
70f85e3 -
End of training
f5754ce -
Training in progress, step 23000
296f075 -
Training in progress, step 22000
869adcd -
Training in progress, step 21000
5894be0 -
Training in progress, step 20000
eb94747 -
Training in progress, step 19000
7c50df6 -
Training in progress, step 18500
3b9f717 -
Training in progress, step 17500
bf8eb40 -
Training in progress, step 16500
18fc53d -
Training in progress, step 15500
7ee4e25 -
Training in progress, step 14500
958f84a -
Training in progress, step 13500
8279f17 -
Training in progress, step 12500
58e9a88 -
Training in progress, step 11500
8aa1c6e -
Training in progress, step 10500
ba66f1c -
Training in progress, step 9500
f02cdd3 -
Training in progress, step 9000
8bd9abf -
Training in progress, step 8000
767a6b3 -
Training in progress, step 7000
be3a8e9 -
Training in progress, step 6000
0cfa14b -
Training in progress, step 5000
c6132ba -
Training in progress, step 4000
f096cdd -
Training in progress, step 3000
dfed907 -
Training in progress, step 2000
e6dc63a -
Training in progress, step 500
c89c96f -
initial commit
Verified signaturec348b21