Instructions to use Sangam101/prabigya_trained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sangam101/prabigya_trained with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Sangam101/prabigya_trained") model = AutoModelForSeq2SeqLM.from_pretrained("Sangam101/prabigya_trained", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, step 6000
b0742b5 -
Training in progress, step 5000
13acb82 -
Training in progress, step 4000
0175927 -
Training in progress, step 3000
e6f640e -
Training in progress, step 2000
badd51f -
Training in progress, step 1000
3d54953 -
Training in progress, step 2000
e8db016 -
Training in progress, step 1000
9bb662f
-
update model card README.md
6d58984 -
Model save
e3099b0 -
Training in progress, epoch 2
859194b -
Training in progress, epoch 1
6312949
-
initial commit
32b36e8