Instructions to use CodeSwapnil/finetune_starcoder2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use CodeSwapnil/finetune_starcoder2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-3b") model = PeftModel.from_pretrained(base_model, "CodeSwapnil/finetune_starcoder2") - Notebooks
- Google Colab
- Kaggle
Download final_checkpoint/model.safetensors from CodeSwapnil/finetune_starcoder2: direct link, hf CLI and curl.
- Browser
- Download file 2.25 GB
-
https://huggingface.co/CodeSwapnil/finetune_starcoder2/resolve/main/final_checkpoint/model.safetensors
- Command line
-
hf download hf://CodeSwapnil/finetune_starcoder2/final_checkpoint/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/CodeSwapnil/finetune_starcoder2/resolve/main/final_checkpoint/model.safetensors
2.25 GB
- Xet hash:
- 46b9dabb253414cb97fef35ff2b9266ffda8f9fe54a8dc6f7ca526ec269a1645
- Size of remote file:
- 2.25 GB
- SHA256:
- be8845667ce180544efb8bb72b42428eae633dfbc20135f9cdb5c496f347c8a4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.