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:
- f26aec757923b526e4de24ea671a7fbdfefbdc4bb355c9c198722b11caa642af
- Size of remote file:
- 4.98 kB
- SHA256:
- 57792ed9916a49f0714c0fe4b786f3a88c27ca54c024bf0c2282a0d5174138e3
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