Update README.md

README.md

@@ -31,9 +31,9 @@ Training is done for 5 epochs using AdamW optimizer and leaner decay learning ra
 
 ```
 python run_clm_apps.py \
-    --output_dir ./gpt-neo-1.3B-apps \
+    --output_dir $HOME/gpt-neo-1.3B-apps \
     --model_name_or_path EleutherAI/gpt-neo-1.3B \
-    --dataset_name ./apps.py \
+    --dataset_name $HOME/gpt-code-clippy/data_processing/apps.py \
     --dataset_config_name formatted \
     --do_train --do_eval \
     --block_size="1024" \
@@ -67,9 +67,9 @@ You can use this model directly with a pipeline for text generation. This exampl
 
 from transformers import AutoModelForCausalLM, AutoTokenizer, FlaxAutoModelForCausalLM
 
-model = AutoModelForCausalLM.from_pretrained("flax-community/gpt-code-clippy-125M-apps-alldata")
+model = AutoModelForCausalLM.from_pretrained("flax-community/gpt-code-clippy-1.3B-apps")
 
-tokenizer = AutoTokenizer.from_pretrained("flax-community/gpt-code-clippy-125M-apps-alldata")
+tokenizer = AutoTokenizer.from_pretrained("flax-community/gpt-code-clippy-1.3B-apps")
 
 prompt = """