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="Bearnardd//tmp/tmpi3zgjgyj/Bearnardd/test_beard")
+generator = pipeline("text-generation", model="Bearnardd//tmp/tmp4xyolvq6/Bearnardd/test_beard")
 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("Bearnardd//tmp/tmpi3zgjgyj/Bearnardd/test_beard")
-model = AutoModelForCausalLMWithValueHead.from_pretrained("Bearnardd//tmp/tmpi3zgjgyj/Bearnardd/test_beard")
+tokenizer = AutoTokenizer.from_pretrained("Bearnardd//tmp/tmp4xyolvq6/Bearnardd/test_beard")
+model = AutoModelForCausalLMWithValueHead.from_pretrained("Bearnardd//tmp/tmp4xyolvq6/Bearnardd/test_beard")
 
 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 sha256:20e57a1ce53e8de739166491c695d1dd8e2b9cab64ddb15477c9a631e799b907
+oid sha256:b836e7019a4ca29a4397e6dfc7a39b33aabdfed536a2870adc0002b4f46547c8
 size 510399237