初始化项目，由ModelHub XC社区提供模型

Model: mnsm92/English_To_Bengali_Translation
Source: Original Platform

README.md

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+---
+tags:
+- text-generation-inference
+- text-generation
+- peft
+library_name: transformers
+base_model:
+- meta-llama/Llama-3.2-1B-Instruct
+widget:
+- messages:
+  - role: user
+    content: What is your favorite condiment?
+license: cc-by-2.0
+pipeline_tag: text-generation
+---
+
+# Model Trained Using AutoTrain
+
+This model is created from llama3.2 1B Instruct.
+email me at: nazmus.sakib.muzahid@gmail.com
+
+# Usage
+
+```python
+
+from transformers import pipeline
+import nltk
+from nltk.tokenize import sent_tokenize
+
+nltk.download("punkt_tab")
+
+pipe = pipeline("text-generation", max_new_tokens=512, do_sample=False, model="mnsm92/English_To_Bengali_Translation")
+
+def create_messages(ot: str):
+    messages = [
+
+        {
+            "role": "system",
+            "content": "Translate English to Bengali. Keep the meaning same"
+        },
+        {"role": "user", "content": ot}
+    ]
+
+    return messages
+
+text = """
+National Citizen Party (NCP) convenor Nahid Islam has said that his party will contest the upcoming 13th Jatiya Sangsad (national parliament) election in alliance with Jamaat-e-Islami and like-minded parties.
+
+However, he emphasised that there is no ideological unity between the NCP and Jamaat or its allies, describing the arrangement instead as an electoral understanding.
+
+Nahid Islam made the remarks at a press conference held at the NCP’s temporary central office in the capital’s Banglamotor area on Sunday night.
+
+Earlier in the afternoon, Jamaat-e-Islami and its like-minded parties had announced at their own press conference that the NCP would be part of their 10-party electoral understanding.
+
+Speaking at the NCP press conference, Nahid Islam outlined the background to the understanding with Jamaat and eight other parties.
+"""
+
+
+sentences = sent_tokenize(text)
+sentences = [ create_messages(sent) for sent in sentences]
+outputs = pipe(sentences, batch_size=32, truncation=True)
+output_texts = ""
+for i in outputs:
+    output_texts += i[0]['generated_text'][-1]['content']
+output_texts.replace("assistant\n\n", " ")
+
+```
+
+# Drop a feedback.