Push model using huggingface_hub.

README.md

@@ -25,7 +25,7 @@ You can then generate text as follows:
 ```python
 from transformers import pipeline
 
-generator = pipeline("text-generation", model="PranavBP525//tmp/tmp2tawf335/PranavBP525/phi-2-storygen-v2")
+generator = pipeline("text-generation", model="PranavBP525//tmp/tmp6m3k7bs3/PranavBP525/phi-2-storygen-v2")
 outputs = generator("Hello, my llama is cute")
 ```
 
@@ -35,8 +35,8 @@ 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("PranavBP525//tmp/tmp2tawf335/PranavBP525/phi-2-storygen-v2")
-model = AutoModelForCausalLMWithValueHead.from_pretrained("PranavBP525//tmp/tmp2tawf335/PranavBP525/phi-2-storygen-v2")
+tokenizer = AutoTokenizer.from_pretrained("PranavBP525//tmp/tmp6m3k7bs3/PranavBP525/phi-2-storygen-v2")
+model = AutoModelForCausalLMWithValueHead.from_pretrained("PranavBP525//tmp/tmp6m3k7bs3/PranavBP525/phi-2-storygen-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 sha256:4007a70b1bda5bf7f4cd0934c09cf4476bdb450a49e59bcf5d12a40c37536497
+oid sha256:0cc2285bb55b2c391198511015fd3ce4215c698062d6e6722de77ad1eb92968b
 size 11772