
## Model Details
this is the finetuned version of GPT2 on a coding dataset

### Model Description

- **Model type:** text-generation
- **Finetuned from model [GPT2](https://huggingface.co/gpt2)**

### Model Sources


- **Repository:** https://huggingface.co/gpt2 

## Uses
```python
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="not-lain/PyGPT")
prompt = """
Below is an instruction that describes a task. Write a response that
appropriately completes the request.


### Instruction:

Create a function to calculate the sum of a sequence of integers.


### Input:

[1, 2, 3, 4, 5]


### Output:
"""

pipe(prompt)
```
## Bias, Risks, and Limitations

model may produce biased ,erroneous and output.

### Recommendations

it is not advised to use this model as it is just a product of testing a finetuning script

## Training Details

### Training Data

<!-- 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. -->

[More Information Needed]

## Evaluation

please refer to the tensorboard tab for full details 
{"tags": ["code"], "datasets": ["iamtarun/python_code_instructions_18k_alpaca"], "widget": [{"text": "Below is an instruction that describes a task. Write a response that appropriately completes the request.\n\n### Instruction:\nCreate a function to calculate the sum of a sequence of integers.\n\n### Input:\n[1, 2, 3, 4, 5]\n\n### Output:\n"}], "pipeline_tag": "text-generation"}
transformers tensorboard safetensors gpt2 text-generation code dataset:iamtarun/python_code_instructions_18k_alpaca autotrain_compatible endpoints_compatible has_space text-generation-inference region:us