Instructions to use Rashik24/tinycoder-15M-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Rashik24/tinycoder-15M-instruct with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Rashik24/tinycoder-15M") model = PeftModel.from_pretrained(base_model, "Rashik24/tinycoder-15M-instruct") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 47aeeb6ed4c25b64e20b90d671f9c15ca8ddb32543325bc39c8676249c88f746
- Size of remote file:
- 26.8 MB
- SHA256:
- 77f55502c76c1139da951375725a68b7435059ff4ee724c15f92cdd52bada406
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.