Update README.md

README.md

@@ -8,6 +8,7 @@ tags:
 - nllb
 - hindi2kangri
 - lowresourcelang
+library_name: transformers
 ---
 
 
@@ -33,4 +34,31 @@ To use this model, you need to install the Hugging Face Transformers library alo
 
 ## Using the Model
 You can use this model with the Hugging Face Transformers library in a Python script or a Jupyter notebook. 
-Below is a sample code snippet to demonstrate how to load and use the model for translation.
+Below is a sample code snippet to demonstrate how to load and use the model for translation.
+
+```python
+import torch
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline
+
+model_name = "cloghost/nllb-200-distilled-600M-hin-kang-v1"
+
+model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+device = 0 if torch.cuda.is_available() else -1  # 0 for GPU, -1 for CPU
+
+translator = pipeline(
+    "translation",
+    model=model,
+    tokenizer=tokenizer,
+    src_lang="hin_Deva",
+    tgt_lang="kang_Deva",
+    device=device
+)
+
+text = """मगर हिमाचली भाषा तो पहले से बोली जा रही है।
+लोग सदियों से ही इसके संग जी रहे हैं।
+पहाड़ी भाषा का इतिहास हिन्दी साहित्य के आदिकाल ,‌जिसे सिद्ध चारण काल के नाम से भी जानते हैं
+"""  # Example text in Hindi
+
+translation = translator(text)