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="jvelja//tmp/tmpvlxudukz/jvelja/poop_0")
+generator = pipeline("text-generation", model="jvelja//tmp/tmpu21_52sz/jvelja/poop_0")
 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("jvelja//tmp/tmpvlxudukz/jvelja/poop_0")
-model = AutoModelForCausalLMWithValueHead.from_pretrained("jvelja//tmp/tmpvlxudukz/jvelja/poop_0")
+tokenizer = AutoTokenizer.from_pretrained("jvelja//tmp/tmpu21_52sz/jvelja/poop_0")
+model = AutoModelForCausalLMWithValueHead.from_pretrained("jvelja//tmp/tmpu21_52sz/jvelja/poop_0")
 
 inputs = tokenizer("Hello, my llama is cute", return_tensors="pt")
 outputs = model(**inputs, labels=inputs["input_ids"])

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:13229a73ea99516bc29c5e5701e34f2f3bf825b834b4c9d487721f496a20dc0d
+oid sha256:5071805d15d555f322c62f5a56068f2ff2dbfb40133c07f14cc46742cc565c59
 size 497777468