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="hanyinwang//tmp/tmpzsih454n/hanyinwang/layer-project-rlhf-mistral")
+generator = pipeline("text-generation", model="hanyinwang//tmp/tmpo4hbycx7/hanyinwang/layer-project-rlhf-mistral")
 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("hanyinwang//tmp/tmpzsih454n/hanyinwang/layer-project-rlhf-mistral")
-model = AutoModelForCausalLMWithValueHead.from_pretrained("hanyinwang//tmp/tmpzsih454n/hanyinwang/layer-project-rlhf-mistral")
+tokenizer = AutoTokenizer.from_pretrained("hanyinwang//tmp/tmpo4hbycx7/hanyinwang/layer-project-rlhf-mistral")
+model = AutoModelForCausalLMWithValueHead.from_pretrained("hanyinwang//tmp/tmpo4hbycx7/hanyinwang/layer-project-rlhf-mistral")
 
 inputs = tokenizer("Hello, my llama is cute", return_tensors="pt")
 outputs = model(**inputs, labels=inputs["input_ids"])

adapter_model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:3a4b83c30c9cb5846223d599eed53ed4ff1a386e3499df079ec5c96a5b52125e
 size 13648432

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:a2d50a2117ce4a8d41fccd25c294f8a9fda1932a349911f8506280f635648b29
 size 17916