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Update README.md

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@@ -24,6 +24,8 @@ Copy code
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  from transformers import pipeline
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  # Load the model from Hugging Face
 
 
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  import torch
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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@@ -34,19 +36,17 @@ model = AutoModelForCausalLM.from_pretrained(
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  # llm_int8_enable_fp32_cpu_offload=True
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  )
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  tokenizer = AutoTokenizer.from_pretrained("pitangent-ds/academic_phy")
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-
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  # Perform inference
 
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  text = "What are units ?"
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  inputs = tokenizer(text, return_tensors="pt")
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  outputs = model.generate(**inputs)
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  decoded_output = tokenizer.decode(outputs[0], skip_special_tokens=True)
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  print(decoded_output)
 
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- # Ask a question
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- question = "what are units?"
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- response = qa_pipeline(data)
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- print(response["answer"])
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  # Training Details
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  Dataset: Curated ICSE Physics content for Classes 9 and 10 textbooks
 
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  from transformers import pipeline
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  # Load the model from Hugging Face
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+
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+ ```python
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  import torch
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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  # llm_int8_enable_fp32_cpu_offload=True
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  )
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  tokenizer = AutoTokenizer.from_pretrained("pitangent-ds/academic_phy")
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+ ```
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  # Perform inference
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+ ```python
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  text = "What are units ?"
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  inputs = tokenizer(text, return_tensors="pt")
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  outputs = model.generate(**inputs)
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  decoded_output = tokenizer.decode(outputs[0], skip_special_tokens=True)
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  print(decoded_output)
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+ ```
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  # Training Details
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  Dataset: Curated ICSE Physics content for Classes 9 and 10 textbooks