Instructions to use ananyarn/get_python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ananyarn/get_python with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TheBloke/Mistral-7B-Instruct-v0.1-GPTQ") model = PeftModel.from_pretrained(base_model, "ananyarn/get_python") - Notebooks
- Google Colab
- Kaggle
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README.md
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## Model description
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## Intended uses & limitations
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## Training and evaluation data
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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## Model description
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This model can convert a given pseudo-code or algorithm to Python source code.
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## Intended uses & limitations
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This model can be used by reasearchers, students and developers who are struggling to convert algorithms to code.
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## Training and evaluation data
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The model was trained using ananyarn/Algorithm_and_Python_Source_Code.
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<!--## Training procedure-->
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### Training hyperparameters
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The following hyperparameters were used during training:
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