Update README.md

README.md

@@ -11,7 +11,7 @@ Search-based technology, AutoNAC.
 
 - **Developed by:** Deci 
 - **Model type:** DeciCoder-6B is an auto-regressive language model based on the transformer decoder architecture, using variable Grouped Query Attention.
-- **Language(s):** Python, Java, JavaScript, Rust, C++, C, C#
+- **Language(s):** Python, Java, JavaScript, Rust, C++, C, C#, Go
 - **License:** Model checkpoints are licensed under the [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0)
 
 ## Documentation
@@ -39,7 +39,7 @@ Search-based technology, AutoNAC.
 import torch
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-checkpoint = "Deci/DeciCoder-6b"
+checkpoint = "Deci/DeciCoder-6B"
 device = "cuda" # for GPU usage or "cpu" for CPU usage
 
 tokenizer = AutoTokenizer.from_pretrained(checkpoint)