Instructions to use Shivam098/Translation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shivam098/Translation with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Shivam098/Translation") model = AutoModelForSeq2SeqLM.from_pretrained("Shivam098/Translation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
update model card README.md
997f3b5 -
End of training
93210b5 -
Training in progress, step 1000
2528d17 -
Training in progress, step 500
775b8a7 -
End of training
bc12154 -
Training in progress, step 5000
e5c4a73 -
Training in progress, step 4500
96a82aa -
Training in progress, step 4000
4449eba -
Training in progress, step 3500
7792c4f -
Training in progress, step 3000
9b96895 -
Training in progress, step 2500
f20fa6b -
Training in progress, step 2000
931f2f0 -
Training in progress, step 1500
2feb2ca -
Training in progress, step 1000
fdc9187 -
Training in progress, step 500
7b671e4
-
Upload 5 files
8d71adf -
Delete special_tokens_map.json
770de0c -
Delete tokenizer.json
7bdda36 -
Rename tokenizer_config.json to tokenizer.json
7866d9b -
Create special_tokens_map.json
42f506e -
Create tokenizer_config.json
a3f66f0 -
Model save
ed4c78f -
End of training
02dc584 -
Training in progress, step 1000
1e6ee13 -
Training in progress, step 500
e268e1b -
End of training
eee7434 -
Training in progress, step 1000
b2680ed -
Training in progress, step 500
ef3525e -
initial commit
fb0ee5a