Instructions to use Sangam101/prabigya_partial_trained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sangam101/prabigya_partial_trained with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Sangam101/prabigya_partial_trained") model = AutoModelForSeq2SeqLM.from_pretrained("Sangam101/prabigya_partial_trained") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 4000
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1625541389
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:318fbef9ebec08c52130ff68b6064486ae4b4973b62d06008996e20bd36d85cb
|
| 3 |
size 1625541389
|