ammarnasr
/

codegen-350M-mono-java

Text Generation

Inference Endpoints

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ammarnasr commited on Aug 22, 2023

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@@ -26,7 +26,7 @@ This model was fine-tuned using LoRa on 1 T4 GPU. The model was trained for 10,0
 ## Evaluation results
 We evaluate our models on the MultiPle-E bencchmark. The model achieves 8.9 Pass@10 Rate.
-![final_pass_at_10](https://raw.githubusercontent.com/ammarnasr/LLM-for-code-intelligence/main/figs/final_pass_at_10.png
 ## Intended Use and Limitations

 ## Evaluation results
 We evaluate our models on the MultiPle-E bencchmark. The model achieves 8.9 Pass@10 Rate.
+![final_pass_at_10](https://raw.githubusercontent.com/ammarnasr/LLM-for-code-intelligence/main/figs/final_pass_at_10.png)
 ## Intended Use and Limitations