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/tmp0swqw55a/amirabdullah19852020/pythia-160m_sentiment_reward")
+generator = pipeline("text-generation", model="amirabdullah19852020//tmp/tmpty35pezj/amirabdullah19852020/pythia-160m_sentiment_reward")
 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/tmp0swqw55a/amirabdullah19852020/pythia-160m_sentiment_reward")
-model = AutoModelForCausalLMWithValueHead.from_pretrained("amirabdullah19852020//tmp/tmp0swqw55a/amirabdullah19852020/pythia-160m_sentiment_reward")
+tokenizer = AutoTokenizer.from_pretrained("amirabdullah19852020//tmp/tmpty35pezj/amirabdullah19852020/pythia-160m_sentiment_reward")
+model = AutoModelForCausalLMWithValueHead.from_pretrained("amirabdullah19852020//tmp/tmpty35pezj/amirabdullah19852020/pythia-160m_sentiment_reward")
 
 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:fa9bd34a2dbb48702bcbbf4806e1848b366c8aed746177ea04b10edd16dbec22
+oid sha256:c8ac0cf205851a7061f696405f734010994af29ef2c1364f088dd55a031e21f6
 size 649349269