Instructions to use Pranabit/finetune_starcoder2_3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Pranabit/finetune_starcoder2_3b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-3b") model = PeftModel.from_pretrained(base_model, "Pranabit/finetune_starcoder2_3b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a8d97be7f71de5cc326fd308caab66b8925a282dc50af054b5f3d916da981bd
- Size of remote file:
- 18.2 MB
- SHA256:
- 892ada83b44cd26e7a84511035ab6d3afb9b4fe3232a7a682c798b207ed8bce6
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