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README.md
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datasets:
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- iamtarun/python_code_instructions_18k_alpaca
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widget:
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datasets:
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- iamtarun/python_code_instructions_18k_alpaca
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widget:
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- text: >
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Below is an instruction that describes a task. Write a response that
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appropriately completes the request.
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### Instruction:
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Create a function to calculate the sum of a sequence of integers.
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### Input:
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[1, 2, 3, 4, 5]
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### Output:
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pipeline_tag: text-generation
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tags:
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- code
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---
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## Model Details
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this is the finetuned version of GPT2 on a coding dataset
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### Model Description
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- **Model type:** text-generation
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- **Finetuned from model [GPT2](https://huggingface.co/gpt2)**
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### Model Sources [optional]
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- **Repository:** https://huggingface.co/gpt2
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## Uses
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```python
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# Use a pipeline as a high-level helper
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from transformers import pipeline
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pipe = pipeline("text-generation", model="not-lain/PyGPT")
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prompt = """
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Below is an instruction that describes a task. Write a response that
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appropriately completes the request.
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### Instruction:
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Create a function to calculate the sum of a sequence of integers.
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### Input:
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[1, 2, 3, 4, 5]
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### Output:
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"""
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pipe(prompt)
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```
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## Bias, Risks, and Limitations
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model may produce biased ,erroneous and output.
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### Recommendations
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it is not advised to use this model as it is just a product of testing a finetuning script
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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## Evaluation
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please refer to the tensorboard tab for full details
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