Instructions to use tharindu/mt5_cctk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tharindu/mt5_cctk with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tharindu/mt5_cctk") model = AutoModelForSeq2SeqLM.from_pretrained("tharindu/mt5_cctk") - 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:fd2edfd23480291418da4fb218f0cac7d9737b3e2ad659747bb74830e3cee31f
|
| 3 |
+
size 2329638856
|