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/tmpidjmhmjz/PranavBP525/phi-2-storygen-v1")
+generator = pipeline("text-generation", model="PranavBP525//tmp/tmpui2aldor/PranavBP525/phi-2-storygen-v1")
 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/tmpidjmhmjz/PranavBP525/phi-2-storygen-v1")
-model = AutoModelForCausalLMWithValueHead.from_pretrained("PranavBP525//tmp/tmpidjmhmjz/PranavBP525/phi-2-storygen-v1")
+tokenizer = AutoTokenizer.from_pretrained("PranavBP525//tmp/tmpui2aldor/PranavBP525/phi-2-storygen-v1")
+model = AutoModelForCausalLMWithValueHead.from_pretrained("PranavBP525//tmp/tmpui2aldor/PranavBP525/phi-2-storygen-v1")
 
 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:bf2e70e0fb2c9dc1111268aa9518c2ec953c430f7f23a968756531d163503fc2
+oid sha256:6a1f349708df88d4cbfadc8c842c645dd877e67d2e90d720627ddbb0a0beacad
 size 11772