Instructions to use zulqarnain-kernel/peft-starcoder-lora-a100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use zulqarnain-kernel/peft-starcoder-lora-a100 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoderbase-1b") model = PeftModel.from_pretrained(base_model, "zulqarnain-kernel/peft-starcoder-lora-a100") - Notebooks
- Google Colab
- Kaggle
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# peft-starcoder-lora-a100
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This model is a fine-tuned version of [bigcode/starcoderbase-1b](https://huggingface.co/bigcode/starcoderbase-1b) on an
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It achieves the following results on the evaluation set:
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- Loss: 1.0588
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# peft-starcoder-lora-a100
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This model is a fine-tuned version of [bigcode/starcoderbase-1b](https://huggingface.co/bigcode/starcoderbase-1b) on an smangrul/hf-stack-v1.
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It achieves the following results on the evaluation set:
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- Loss: 1.0588
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