
# Model Card for Starcoder-conala

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

This model is an instruction-tuned version of ⭐️ StarCoder. The instruction dataset involved is [Conala-mined-curated](https://huggingface.co/datasets/codeparrot/conala-mined-curated)
which was built by boostrapping by predicting the column *rewritten_intent* of the mined subset of the [CoNaLa corpus](https://huggingface.co/datasets/neulab/conala).

## Usage

<!-- 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
- [Conala-mined-curated](https://huggingface.co/datasets/codeparrot/conala-mined-curated)
- [Starcoder](https://huggingface.co/bigcode/starcoder)
{"datasets": ["codeparrot/conala-mined-curated"], "pipeline_tag": "text2text-generation"}
transformers pytorch gpt_bigcode text-generation text2text-generation dataset:codeparrot/conala-mined-curated autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #gpt_bigcode #text-generation #text2text-generation #dataset-codeparrot/conala-mined-curated #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 


# Model Card for Starcoder-conala



This model is an instruction-tuned version of ⭐️ StarCoder. The instruction dataset involved is Conala-mined-curated
which was built by boostrapping by predicting the column *rewritten_intent* of the mined subset of the CoNaLa corpus.

## Usage


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
- Conala-mined-curated
- Starcoder
# Model Card for Starcoder-conala



This model is an instruction-tuned version of ⭐️ StarCoder. The instruction dataset involved is Conala-mined-curated
which was built by boostrapping by predicting the column *rewritten_intent* of the mined subset of the CoNaLa corpus. ## Usage


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
- Conala-mined-curated
- Starcoder
TAGS
#transformers #pytorch #gpt_bigcode #text-generation #text2text-generation #dataset-codeparrot/conala-mined-curated #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # Model Card for Starcoder-conala



This model is an instruction-tuned version of ⭐️ StarCoder. The instruction dataset involved is Conala-mined-curated
which was built by boostrapping by predicting the column *rewritten_intent* of the mined subset of the CoNaLa corpus. ## Usage


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
- Conala-mined-curated
- Starcoder