Model Details
this is the finetuned version of GPT2 on a coding dataset
Model Description
- Model type: text-generation
- Finetuned from model GPT2
Model Sources
- Repository: https://huggingface.co/gpt2
Uses
# 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
[More Information Needed]
Evaluation
please refer to the tensorboard tab for full details
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Install from pip and serve model
# Install vLLM from pip: pip install vllm# Start the vLLM server: vllm serve "not-lain/PyGPT"# Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "not-lain/PyGPT", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'