Instructions to use KaQyn/peft-lora-starcoder2-15b-flutter-copilot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use KaQyn/peft-lora-starcoder2-15b-flutter-copilot with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-15b") model = PeftModel.from_pretrained(base_model, "KaQyn/peft-lora-starcoder2-15b-flutter-copilot") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from KaQyn/peft-lora-starcoder2-15b-flutter-copilot: direct link, hf CLI and curl.
- Browser
- Download file 509 MB
-
https://huggingface.co/KaQyn/peft-lora-starcoder2-15b-flutter-copilot/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://KaQyn/peft-lora-starcoder2-15b-flutter-copilot/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/KaQyn/peft-lora-starcoder2-15b-flutter-copilot/resolve/main/adapter_model.safetensors
509 MB
- Xet hash:
- 66666477ae919ec7e1a12c02064c42a0cc230cb45871269c806f7fe20d3cf0b0
- Size of remote file:
- 509 MB
- SHA256:
- b333c8c690b7a7d76869e22de22e479dfe561d20fb367ef2e7631e538c940c34
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