Push model using huggingface_hub.

README.md

@@ -24,7 +24,7 @@ You can then generate text as follows:
 ```python
 from transformers import pipeline
 
-generator = pipeline("text-generation", model="dshin//tmp/tmp2biqmaft/dshin/flan-t5-ppo-user-a-use-violation")
+generator = pipeline("text-generation", model="dshin//tmp/tmpy9wgjo1m/dshin/flan-t5-ppo-user-a-use-violation")
 outputs = generator("Hello, my llama is cute")
 ```
 
@@ -34,8 +34,8 @@ If you want to use the model for training or to obtain the outputs from the valu
 from transformers import AutoTokenizer
 from trl import AutoModelForCausalLMWithValueHead
 
-tokenizer = AutoTokenizer.from_pretrained("dshin//tmp/tmp2biqmaft/dshin/flan-t5-ppo-user-a-use-violation")
-model = AutoModelForCausalLMWithValueHead.from_pretrained("dshin//tmp/tmp2biqmaft/dshin/flan-t5-ppo-user-a-use-violation")
+tokenizer = AutoTokenizer.from_pretrained("dshin//tmp/tmpy9wgjo1m/dshin/flan-t5-ppo-user-a-use-violation")
+model = AutoModelForCausalLMWithValueHead.from_pretrained("dshin//tmp/tmpy9wgjo1m/dshin/flan-t5-ppo-user-a-use-violation")
 
 inputs = tokenizer("Hello, my llama is cute", return_tensors="pt")
 outputs = model(**inputs, labels=inputs["input_ids"])

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:713cece98c05127ba8d4b0adf6dcc1599c23cfb61327560bb1d57fd71f32ed3f
+oid sha256:7be7bebc1d5ef2c748af97042f72368b1223c9359e0848bb0d1ac733c1d594ee
 size 990412605