Instructions to use smangrul/starcoder-3b-hugcoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use smangrul/starcoder-3b-hugcoder with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-3b") model = PeftModel.from_pretrained(base_model, "smangrul/starcoder-3b-hugcoder") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11253a1ab7042da652a966ed3d178caa56f7101f210fc6d4a3580d10c01252a0
- Size of remote file:
- 4.92 kB
- SHA256:
- ea7060885bcceafc0d8e4faf567f2193e3130a8cab6c8c49524bcf8250094afa
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