Instructions to use aohk/peft-starcoder-lora-a100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aohk/peft-starcoder-lora-a100 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoderbase-1b") model = PeftModel.from_pretrained(base_model, "aohk/peft-starcoder-lora-a100") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from aohk/peft-starcoder-lora-a100: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/aohk/peft-starcoder-lora-a100/resolve/main/training_args.bin
- Command line
-
hf download hf://aohk/peft-starcoder-lora-a100/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/aohk/peft-starcoder-lora-a100/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 53ca5d8035b3674c1b7fbf8c6c7bb839e0b9634224a952f799b109f5c3d02a04
- Size of remote file:
- 5.37 kB
- SHA256:
- e73576b42792c856c05e9e01ed723fb6606cabaff4de4714a788be8fd64487a5
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