Instructions to use Ruthvik2835/starcoder15b-finetune-35steps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Ruthvik2835/starcoder15b-finetune-35steps with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder") model = PeftModel.from_pretrained(base_model, "Ruthvik2835/starcoder15b-finetune-35steps") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Ruthvik2835/starcoder15b-finetune-35steps: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/Ruthvik2835/starcoder15b-finetune-35steps/resolve/main/training_args.bin
- Command line
-
hf download hf://Ruthvik2835/starcoder15b-finetune-35steps/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Ruthvik2835/starcoder15b-finetune-35steps/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 92d025bfd5a9b77b8f7a0d40d780e40a7cf3881b51ae027e90ad3b51f21151dc
- Size of remote file:
- 5.37 kB
- SHA256:
- 9b671e9c9edb8dfc9b290aee0d9cf45701cf889d4eda48c3d083d9855beeaa1f
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