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="amirabdullah19852020//tmp/tmp53bvcsl_/amirabdullah19852020/pythia_70m_ppo_imdb_sentiment_v2")
+generator = pipeline("text-generation", model="amirabdullah19852020//tmp/tmpjk_qhlmj/amirabdullah19852020/pythia_70m_ppo_imdb_sentiment_v2")
 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("amirabdullah19852020//tmp/tmp53bvcsl_/amirabdullah19852020/pythia_70m_ppo_imdb_sentiment_v2")
-model = AutoModelForCausalLMWithValueHead.from_pretrained("amirabdullah19852020//tmp/tmp53bvcsl_/amirabdullah19852020/pythia_70m_ppo_imdb_sentiment_v2")
+tokenizer = AutoTokenizer.from_pretrained("amirabdullah19852020//tmp/tmpjk_qhlmj/amirabdullah19852020/pythia_70m_ppo_imdb_sentiment_v2")
+model = AutoModelForCausalLMWithValueHead.from_pretrained("amirabdullah19852020//tmp/tmpjk_qhlmj/amirabdullah19852020/pythia_70m_ppo_imdb_sentiment_v2")
 
 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 sha256:964c69dd61bf04308c5f2e25775ae8062eebfdc37918d6bea7fcc2ff57b8401c
-size 306795729
+oid sha256:07ce3c04676509589e32d297e24296e01ecbbd05e6f007a575ed608358be5da1
+size 306794449