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/tmp8hrea3qg/dshin/flan-t5-ppo")
+generator = pipeline("text-generation", model="dshin//tmp/tmp3l_wgjg2/dshin/flan-t5-ppo")
 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/tmp8hrea3qg/dshin/flan-t5-ppo")
-model = AutoModelForCausalLMWithValueHead.from_pretrained("dshin//tmp/tmp8hrea3qg/dshin/flan-t5-ppo")
+tokenizer = AutoTokenizer.from_pretrained("dshin//tmp/tmp3l_wgjg2/dshin/flan-t5-ppo")
+model = AutoModelForCausalLMWithValueHead.from_pretrained("dshin//tmp/tmp3l_wgjg2/dshin/flan-t5-ppo")
 
 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 sha256:4b474855dd9791c0481d74899e2b79fd3ba73ee5a322ca972b1ea7af2e752938
+oid sha256:9033f0f57a7cd4983b4b26826dc4f84862b6e4216c197f1c8215b7f38d871a18
 size 990412605