Instructions to use monsterapi/gpt2_137m_DolphinCoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use monsterapi/gpt2_137m_DolphinCoder with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("gpt2") model = PeftModel.from_pretrained(base_model, "monsterapi/gpt2_137m_DolphinCoder") - Notebooks
- Google Colab
- Kaggle
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README.md
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#### Dataset Insights:
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[Dolphin-Coder](https://huggingface.co/datasets/cognitivecomputations/dolphin-coder)
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#### Finetuning Details:
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#### Dataset Insights:
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[Dolphin-Coder](https://huggingface.co/datasets/cognitivecomputations/dolphin-coder) dataset – a high-quality collection of 100,000+ coding questions and responses. It's perfect for supervised fine-tuning (SFT), and teaching language models to improve on coding-based tasks.
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#### Finetuning Details:
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