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="yuchiz//srv/condor/execute/dir_58527/tmpl7z3u_8l/yuchiz/lmrl-7b")
+generator = pipeline("text-generation", model="yuchiz//srv/condor/execute/dir_58527/tmpn2ps2r8c/yuchiz/lmrl-7b")
 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("yuchiz//srv/condor/execute/dir_58527/tmpl7z3u_8l/yuchiz/lmrl-7b")
-model = AutoModelForCausalLMWithValueHead.from_pretrained("yuchiz//srv/condor/execute/dir_58527/tmpl7z3u_8l/yuchiz/lmrl-7b")
+tokenizer = AutoTokenizer.from_pretrained("yuchiz//srv/condor/execute/dir_58527/tmpn2ps2r8c/yuchiz/lmrl-7b")
+model = AutoModelForCausalLMWithValueHead.from_pretrained("yuchiz//srv/condor/execute/dir_58527/tmpn2ps2r8c/yuchiz/lmrl-7b")
 
 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 sha256:89fb43acb3019a06c4bbd1b8ebac22707040ac32e9ef8051503676524cad4174
+oid sha256:5eb64de072c9dd21a230b8494977611d5b25294ea0979b3030a5c6818ac59187
 size 17471