[README][ZETACLOUD]

README.md

@@ -336,6 +336,36 @@ niva(
 
 ```
 
+
+### ZetaCloud
+Train or finetune any model on any cluster in 1 click with zetacloud, just pass in your file and the GPU type and quantity you want! To gain access first `pip install zetascale` then run `zeta -h` in the terminal. 
+
+```bash
+Zetacloud CLI
+
+options:
+ -h, --help show this help message and exit
+ -t TASK_NAME, --task_name TASK_NAME
+ Task name
+ -c CLUSTER_NAME, --cluster_name CLUSTER_NAME
+ Cluster name
+ -cl CLOUD, --cloud CLOUD
+ Cloud provider
+ -g GPUS, --gpus GPUS GPUs
+ -f FILENAME, --filename FILENAME
+ Filename
+ -s, --stop Stop flag
+ -d, --down Down flag
+ -sr, --status_report Status report flag
+
+```
+
+- A simple run example code would be like:
+
+```bash
+zeta -f train.py -g A100:8
+```
+
 # Documentation
 [Click here for the documentation, it's at zeta.apac.ai](https://zeta.apac.ai)
 

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "zetascale"
-version = "1.1.6"
+version = "1.1.7"
 description = "Transformers at zeta scales"
 authors = ["Zeta Team <[email protected]>"]
 license = "MIT"