Update README.md

README.md

@@ -1,32 +1,22 @@
----
-license: apache-2.0
-datasets:
-- BanglaLLM/bangla-alpaca
-language:
-- bn
-library_name: transformers
-pipeline_tag: question-answering
----
+---
+license: apache-2.0
+datasets:
+- BanglaLLM/bangla-alpaca
+language:
+- bn
+library_name: transformers
+pipeline_tag: question-answering
+---
 # How to Use:
 
 You can use the model with a pipeline for a high-level helper or load the model directly. Here's how:
 
-```python
-# Use a pipeline as a high-level helper
-from transformers import pipeline
-pipe = pipeline("question-answering", model="hassanaliemon/bn_rag_llama3-8b")
-```
-
 ```python
 # Load model directly
 from transformers import AutoTokenizer, AutoModelForCausalLM
 tokenizer = AutoTokenizer.from_pretrained("hassanaliemon/bn_rag_llama3-8b")
 model = AutoModelForCausalLM.from_pretrained("hassanaliemon/bn_rag_llama3-8b")
-```
 
-# General Prompt Structure: 
-
-```python
 prompt = """Below is an instruction in Bengali language that describes a task, paired with an input also in Bengali language that provides further context. Write a response in Bengali language that appropriately completes the request.
 
 ### Instruction:
@@ -38,11 +28,6 @@ prompt = """Below is an instruction in Bengali language that describes a task, p
 ### Response:
 {}
 """
-```
-
-# To get a cleaned up version of the response, you can use the `generate_response` function:
-
-```python
 def generate_response(question, context):
     inputs = tokenizer([prompt.format(question, context, "")], return_tensors="pt").to("cuda")
     outputs = model.generate(**inputs, max_new_tokens=1024, use_cache=True)
@@ -50,11 +35,9 @@ def generate_response(question, context):
     response_start = responses.find("### Response:") + len("### Response:")
     response = responses[response_start:].strip()
     return response
-```
 
 # Example Usage:
 
-```python
 question = "ভারতীয় বাঙালি কথাসাহিত্যিক মহাশ্বেতা দেবীর মৃত্যু কবে হয় ?"
 context = "২০১৬ সালের ২৩ জুলাই হৃদরোগে আক্রান্ত হয়ে মহাশ্বেতা দেবী কলকাতার বেল ভিউ ক্লিনিকে ভর্তি হন। সেই বছরই ২৮ জুলাই একাধিক অঙ্গ বিকল হয়ে তাঁর মৃত্যু ঘটে। তিনি মধুমেহ, সেপ্টিসেমিয়া ও মূত্র সংক্রমণ রোগেও ভুগছিলেন।"
 answer = generate_response(question, context)