

# Model Card for Self-instruct-starcoder

<!-- Provide a quick summary of what the model is/does. -->

This model is an instruction-tuned version of ⭐️ StarCoder. The instruction dataset involved is [Self-instruct-starcoder](https://huggingface.co/datasets/codeparrot/self-instruct-starcoder)
which was built by boostrapping on StarCoder's generations.
## Uses

<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
The model was fine-tuned with the following template
```
Question: <instruction>

Answer: <output>
```
If you have your model and tokenizer loaded, you can use the following code to make the model generate the right output to a given instruction

```python
instruction = "Write a function to compute the GCD between two integers a and b"
prompt = f"Question:{instruction}\n\nAnswer:"
input_ids = tokenizer(prompt, return_tensors="pt")["input_ids"]
completion = model.generate(input_ids, max_length=200)
print(tokenizer.batch_decode(completion[:,input_ids.shape[1]:])[0])
```

## More information

For additional information, check
- [self-intruct-starcoder](https://huggingface.co/codeparrot/self-instruct-starcoder)
- [starcoder](https://huggingface.co/bigcode/starcoder)
{"library_name": "transformers", "tags": ["code"], "datasets": ["codeparrot/self-instruct-starcoder"], "metrics": ["code_eval"], "pipeline_tag": "text2text-generation", "model-index": [{"name": "StarCoder-SelfInstruct", "results": [{"task": {"type": "text-generation"}, "dataset": {"name": "InstructHumanEval", "type": "openai_humaneval"}, "metrics": [{"type": "pass@1", "value": 0.391, "name": "pass@1", "verified": false}, {"type": "pass@1", "value": 0.346, "name": "pass@1", "verified": false}]}]}]}
transformers pytorch gpt_bigcode text-generation code text2text-generation dataset:codeparrot/self-instruct-starcoder model-index autotrain_compatible endpoints_compatible has_space text-generation-inference region:us
TAGS
#transformers #pytorch #gpt_bigcode #text-generation #code #text2text-generation #dataset-codeparrot/self-instruct-starcoder #model-index #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 



# Model Card for Self-instruct-starcoder



This model is an instruction-tuned version of ⭐️ StarCoder. The instruction dataset involved is Self-instruct-starcoder
which was built by boostrapping on StarCoder's generations.
## Uses


The model was fine-tuned with the following template

If you have your model and tokenizer loaded, you can use the following code to make the model generate the right output to a given instruction



## More information

For additional information, check
- self-intruct-starcoder
- starcoder
# Model Card for Self-instruct-starcoder



This model is an instruction-tuned version of ⭐️ StarCoder. The instruction dataset involved is Self-instruct-starcoder
which was built by boostrapping on StarCoder's generations. ## Uses


The model was fine-tuned with the following template

If you have your model and tokenizer loaded, you can use the following code to make the model generate the right output to a given instruction ## More information

For additional information, check
- self-intruct-starcoder
- starcoder
TAGS
#transformers #pytorch #gpt_bigcode #text-generation #code #text2text-generation #dataset-codeparrot/self-instruct-starcoder #model-index #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 
 # Model Card for Self-instruct-starcoder



This model is an instruction-tuned version of ⭐️ StarCoder. The instruction dataset involved is Self-instruct-starcoder
which was built by boostrapping on StarCoder's generations. ## Uses


The model was fine-tuned with the following template

If you have your model and tokenizer loaded, you can use the following code to make the model generate the right output to a given instruction ## More information

For additional information, check
- self-intruct-starcoder
- starcoder