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README.md
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@@ -5,7 +5,7 @@ This is a fine-tuned version of [Salesforce/CodeT5-base](https://huggingface.co/
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---
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**BLEU Score:** 0.4506
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- 1-gram: 0.6698
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---
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```python
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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inputs = tokenizer(f"translate VB.NET to C#: {vb_code}", return_tensors="pt")
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outputs = model.generate(**inputs)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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Training data was in JSONL with fields:
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"vb_code": VB.NET input
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"csharp_code": corresponding C# output
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MIT
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---
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# π Evaluation Metrics
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**BLEU Score:** 0.4506
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- 1-gram: 0.6698
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# π§ Usage
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```python
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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inputs = tokenizer(f"translate VB.NET to C#: {vb_code}", return_tensors="pt")
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outputs = model.generate(**inputs)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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```
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# π Dataset Format
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Training data was in JSONL with fields:
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"vb_code": VB.NET input
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"csharp_code": corresponding C# output
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# π License
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MIT
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