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/tmpzp807gb0/dshin/flan-t5-ppo-user-h-use-violation")
+generator = pipeline("text-generation", model="dshin//tmp/tmpi1ns78iz/dshin/flan-t5-ppo-user-h-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/tmpzp807gb0/dshin/flan-t5-ppo-user-h-use-violation")
-model = AutoModelForCausalLMWithValueHead.from_pretrained("dshin//tmp/tmpzp807gb0/dshin/flan-t5-ppo-user-h-use-violation")
+tokenizer = AutoTokenizer.from_pretrained("dshin//tmp/tmpi1ns78iz/dshin/flan-t5-ppo-user-h-use-violation")
+model = AutoModelForCausalLMWithValueHead.from_pretrained("dshin//tmp/tmpi1ns78iz/dshin/flan-t5-ppo-user-h-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
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+oid sha256:3cc7ca13f6858c586cb4670e14e8ed6f3700ad9cc20c1f4183134ce433062813
 size 990412605