Instructions to use MahdiSUST/bn_sum_mt5_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MahdiSUST/bn_sum_mt5_base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("MahdiSUST/bn_sum_mt5_base") model = AutoModelForMultimodalLM.from_pretrained("MahdiSUST/bn_sum_mt5_base") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7f5f4f188ad8bbdbb1836eeaf8d8b7fec499217d7f1e2d04c616b933e0132b91
|
| 3 |
+
size 2329639048
|